1_efficientnet_with_imagenet_pretrained_weights.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1:  Image Classification Using EfficientNet B0 with Imagenet pretrained Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To use EfficientNetB0 for classifying 1000 classes of images from imagenet, we can use Imagenet weights.\n",
    "\n",
    "from tensorflow.keras.applications import EfficientNetB0\n",
    "model = EfficientNetB0(weights='imagenet')  #trained on 1000 classes of Imagenet dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"efficientnetb0\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_2 (InputLayer)            [(None, 224, 224, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "rescaling_1 (Rescaling)         (None, 224, 224, 3)  0           input_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "normalization_1 (Normalization) (None, 224, 224, 3)  7           rescaling_1[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "stem_conv_pad (ZeroPadding2D)   (None, 225, 225, 3)  0           normalization_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "stem_conv (Conv2D)              (None, 112, 112, 32) 864         stem_conv_pad[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "stem_bn (BatchNormalization)    (None, 112, 112, 32) 128         stem_conv[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "stem_activation (Activation)    (None, 112, 112, 32) 0           stem_bn[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "block1a_dwconv (DepthwiseConv2D (None, 112, 112, 32) 288         stem_activation[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "block1a_bn (BatchNormalization) (None, 112, 112, 32) 128         block1a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block1a_activation (Activation) (None, 112, 112, 32) 0           block1a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_squeeze (GlobalAvera (None, 32)           0           block1a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_reshape (Reshape)    (None, 1, 1, 32)     0           block1a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_reduce (Conv2D)      (None, 1, 1, 8)      264         block1a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_expand (Conv2D)      (None, 1, 1, 32)     288         block1a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_excite (Multiply)    (None, 112, 112, 32) 0           block1a_activation[0][0]         \n",
      "                                                                 block1a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_project_conv (Conv2D)   (None, 112, 112, 16) 512         block1a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_project_bn (BatchNormal (None, 112, 112, 16) 64          block1a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_conv (Conv2D)    (None, 112, 112, 96) 1536        block1a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_bn (BatchNormali (None, 112, 112, 96) 384         block2a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_activation (Acti (None, 112, 112, 96) 0           block2a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_dwconv_pad (ZeroPadding (None, 113, 113, 96) 0           block2a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2a_dwconv (DepthwiseConv2D (None, 56, 56, 96)   864         block2a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_bn (BatchNormalization) (None, 56, 56, 96)   384         block2a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2a_activation (Activation) (None, 56, 56, 96)   0           block2a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_squeeze (GlobalAvera (None, 96)           0           block2a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_reshape (Reshape)    (None, 1, 1, 96)     0           block2a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_reduce (Conv2D)      (None, 1, 1, 4)      388         block2a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_expand (Conv2D)      (None, 1, 1, 96)     480         block2a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_excite (Multiply)    (None, 56, 56, 96)   0           block2a_activation[0][0]         \n",
      "                                                                 block2a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_project_conv (Conv2D)   (None, 56, 56, 24)   2304        block2a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_project_bn (BatchNormal (None, 56, 56, 24)   96          block2a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_conv (Conv2D)    (None, 56, 56, 144)  3456        block2a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_bn (BatchNormali (None, 56, 56, 144)  576         block2b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_activation (Acti (None, 56, 56, 144)  0           block2b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_dwconv (DepthwiseConv2D (None, 56, 56, 144)  1296        block2b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2b_bn (BatchNormalization) (None, 56, 56, 144)  576         block2b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2b_activation (Activation) (None, 56, 56, 144)  0           block2b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_squeeze (GlobalAvera (None, 144)          0           block2b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_reshape (Reshape)    (None, 1, 1, 144)    0           block2b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_reduce (Conv2D)      (None, 1, 1, 6)      870         block2b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_expand (Conv2D)      (None, 1, 1, 144)    1008        block2b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_excite (Multiply)    (None, 56, 56, 144)  0           block2b_activation[0][0]         \n",
      "                                                                 block2b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_project_conv (Conv2D)   (None, 56, 56, 24)   3456        block2b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_project_bn (BatchNormal (None, 56, 56, 24)   96          block2b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2b_drop (Dropout)          (None, 56, 56, 24)   0           block2b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_add (Add)               (None, 56, 56, 24)   0           block2b_drop[0][0]               \n",
      "                                                                 block2a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_conv (Conv2D)    (None, 56, 56, 144)  3456        block2b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_bn (BatchNormali (None, 56, 56, 144)  576         block3a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_activation (Acti (None, 56, 56, 144)  0           block3a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_dwconv_pad (ZeroPadding (None, 59, 59, 144)  0           block3a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3a_dwconv (DepthwiseConv2D (None, 28, 28, 144)  3600        block3a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_bn (BatchNormalization) (None, 28, 28, 144)  576         block3a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3a_activation (Activation) (None, 28, 28, 144)  0           block3a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_squeeze (GlobalAvera (None, 144)          0           block3a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_reshape (Reshape)    (None, 1, 1, 144)    0           block3a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_reduce (Conv2D)      (None, 1, 1, 6)      870         block3a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_expand (Conv2D)      (None, 1, 1, 144)    1008        block3a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_excite (Multiply)    (None, 28, 28, 144)  0           block3a_activation[0][0]         \n",
      "                                                                 block3a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_project_conv (Conv2D)   (None, 28, 28, 40)   5760        block3a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_project_bn (BatchNormal (None, 28, 28, 40)   160         block3a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_conv (Conv2D)    (None, 28, 28, 240)  9600        block3a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_bn (BatchNormali (None, 28, 28, 240)  960         block3b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_activation (Acti (None, 28, 28, 240)  0           block3b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_dwconv (DepthwiseConv2D (None, 28, 28, 240)  6000        block3b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3b_bn (BatchNormalization) (None, 28, 28, 240)  960         block3b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3b_activation (Activation) (None, 28, 28, 240)  0           block3b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_squeeze (GlobalAvera (None, 240)          0           block3b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_reshape (Reshape)    (None, 1, 1, 240)    0           block3b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_reduce (Conv2D)      (None, 1, 1, 10)     2410        block3b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_expand (Conv2D)      (None, 1, 1, 240)    2640        block3b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_excite (Multiply)    (None, 28, 28, 240)  0           block3b_activation[0][0]         \n",
      "                                                                 block3b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_project_conv (Conv2D)   (None, 28, 28, 40)   9600        block3b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_project_bn (BatchNormal (None, 28, 28, 40)   160         block3b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3b_drop (Dropout)          (None, 28, 28, 40)   0           block3b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_add (Add)               (None, 28, 28, 40)   0           block3b_drop[0][0]               \n",
      "                                                                 block3a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_conv (Conv2D)    (None, 28, 28, 240)  9600        block3b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "block4a_expand_bn (BatchNormali (None, 28, 28, 240)  960         block4a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_activation (Acti (None, 28, 28, 240)  0           block4a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_dwconv_pad (ZeroPadding (None, 29, 29, 240)  0           block4a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4a_dwconv (DepthwiseConv2D (None, 14, 14, 240)  2160        block4a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_bn (BatchNormalization) (None, 14, 14, 240)  960         block4a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4a_activation (Activation) (None, 14, 14, 240)  0           block4a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_squeeze (GlobalAvera (None, 240)          0           block4a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_reshape (Reshape)    (None, 1, 1, 240)    0           block4a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_reduce (Conv2D)      (None, 1, 1, 10)     2410        block4a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_expand (Conv2D)      (None, 1, 1, 240)    2640        block4a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_excite (Multiply)    (None, 14, 14, 240)  0           block4a_activation[0][0]         \n",
      "                                                                 block4a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_project_conv (Conv2D)   (None, 14, 14, 80)   19200       block4a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_project_bn (BatchNormal (None, 14, 14, 80)   320         block4a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_conv (Conv2D)    (None, 14, 14, 480)  38400       block4a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_bn (BatchNormali (None, 14, 14, 480)  1920        block4b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_activation (Acti (None, 14, 14, 480)  0           block4b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_dwconv (DepthwiseConv2D (None, 14, 14, 480)  4320        block4b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4b_bn (BatchNormalization) (None, 14, 14, 480)  1920        block4b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4b_activation (Activation) (None, 14, 14, 480)  0           block4b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_squeeze (GlobalAvera (None, 480)          0           block4b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_reshape (Reshape)    (None, 1, 1, 480)    0           block4b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block4b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block4b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_excite (Multiply)    (None, 14, 14, 480)  0           block4b_activation[0][0]         \n",
      "                                                                 block4b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_project_conv (Conv2D)   (None, 14, 14, 80)   38400       block4b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_project_bn (BatchNormal (None, 14, 14, 80)   320         block4b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4b_drop (Dropout)          (None, 14, 14, 80)   0           block4b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_add (Add)               (None, 14, 14, 80)   0           block4b_drop[0][0]               \n",
      "                                                                 block4a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_conv (Conv2D)    (None, 14, 14, 480)  38400       block4b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_bn (BatchNormali (None, 14, 14, 480)  1920        block4c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_activation (Acti (None, 14, 14, 480)  0           block4c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_dwconv (DepthwiseConv2D (None, 14, 14, 480)  4320        block4c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4c_bn (BatchNormalization) (None, 14, 14, 480)  1920        block4c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4c_activation (Activation) (None, 14, 14, 480)  0           block4c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_squeeze (GlobalAvera (None, 480)          0           block4c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_reshape (Reshape)    (None, 1, 1, 480)    0           block4c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block4c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block4c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_excite (Multiply)    (None, 14, 14, 480)  0           block4c_activation[0][0]         \n",
      "                                                                 block4c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_project_conv (Conv2D)   (None, 14, 14, 80)   38400       block4c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_project_bn (BatchNormal (None, 14, 14, 80)   320         block4c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4c_drop (Dropout)          (None, 14, 14, 80)   0           block4c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_add (Add)               (None, 14, 14, 80)   0           block4c_drop[0][0]               \n",
      "                                                                 block4b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_conv (Conv2D)    (None, 14, 14, 480)  38400       block4c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_bn (BatchNormali (None, 14, 14, 480)  1920        block5a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_activation (Acti (None, 14, 14, 480)  0           block5a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_dwconv (DepthwiseConv2D (None, 14, 14, 480)  12000       block5a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5a_bn (BatchNormalization) (None, 14, 14, 480)  1920        block5a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5a_activation (Activation) (None, 14, 14, 480)  0           block5a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_squeeze (GlobalAvera (None, 480)          0           block5a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_reshape (Reshape)    (None, 1, 1, 480)    0           block5a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block5a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block5a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_excite (Multiply)    (None, 14, 14, 480)  0           block5a_activation[0][0]         \n",
      "                                                                 block5a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_project_conv (Conv2D)   (None, 14, 14, 112)  53760       block5a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_project_bn (BatchNormal (None, 14, 14, 112)  448         block5a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_conv (Conv2D)    (None, 14, 14, 672)  75264       block5a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_bn (BatchNormali (None, 14, 14, 672)  2688        block5b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_activation (Acti (None, 14, 14, 672)  0           block5b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_dwconv (DepthwiseConv2D (None, 14, 14, 672)  16800       block5b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5b_bn (BatchNormalization) (None, 14, 14, 672)  2688        block5b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5b_activation (Activation) (None, 14, 14, 672)  0           block5b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_squeeze (GlobalAvera (None, 672)          0           block5b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_reshape (Reshape)    (None, 1, 1, 672)    0           block5b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_reduce (Conv2D)      (None, 1, 1, 28)     18844       block5b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_expand (Conv2D)      (None, 1, 1, 672)    19488       block5b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_excite (Multiply)    (None, 14, 14, 672)  0           block5b_activation[0][0]         \n",
      "                                                                 block5b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_project_conv (Conv2D)   (None, 14, 14, 112)  75264       block5b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_project_bn (BatchNormal (None, 14, 14, 112)  448         block5b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5b_drop (Dropout)          (None, 14, 14, 112)  0           block5b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_add (Add)               (None, 14, 14, 112)  0           block5b_drop[0][0]               \n",
      "                                                                 block5a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_conv (Conv2D)    (None, 14, 14, 672)  75264       block5b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_bn (BatchNormali (None, 14, 14, 672)  2688        block5c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_activation (Acti (None, 14, 14, 672)  0           block5c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_dwconv (DepthwiseConv2D (None, 14, 14, 672)  16800       block5c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5c_bn (BatchNormalization) (None, 14, 14, 672)  2688        block5c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5c_activation (Activation) (None, 14, 14, 672)  0           block5c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_squeeze (GlobalAvera (None, 672)          0           block5c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_reshape (Reshape)    (None, 1, 1, 672)    0           block5c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_reduce (Conv2D)      (None, 1, 1, 28)     18844       block5c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_expand (Conv2D)      (None, 1, 1, 672)    19488       block5c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_excite (Multiply)    (None, 14, 14, 672)  0           block5c_activation[0][0]         \n",
      "                                                                 block5c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_project_conv (Conv2D)   (None, 14, 14, 112)  75264       block5c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_project_bn (BatchNormal (None, 14, 14, 112)  448         block5c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5c_drop (Dropout)          (None, 14, 14, 112)  0           block5c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_add (Add)               (None, 14, 14, 112)  0           block5c_drop[0][0]               \n",
      "                                                                 block5b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_conv (Conv2D)    (None, 14, 14, 672)  75264       block5c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_bn (BatchNormali (None, 14, 14, 672)  2688        block6a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_activation (Acti (None, 14, 14, 672)  0           block6a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_dwconv_pad (ZeroPadding (None, 17, 17, 672)  0           block6a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6a_dwconv (DepthwiseConv2D (None, 7, 7, 672)    16800       block6a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_bn (BatchNormalization) (None, 7, 7, 672)    2688        block6a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6a_activation (Activation) (None, 7, 7, 672)    0           block6a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_squeeze (GlobalAvera (None, 672)          0           block6a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_reshape (Reshape)    (None, 1, 1, 672)    0           block6a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_reduce (Conv2D)      (None, 1, 1, 28)     18844       block6a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_expand (Conv2D)      (None, 1, 1, 672)    19488       block6a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_excite (Multiply)    (None, 7, 7, 672)    0           block6a_activation[0][0]         \n",
      "                                                                 block6a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_project_conv (Conv2D)   (None, 7, 7, 192)    129024      block6a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_project_bn (BatchNormal (None, 7, 7, 192)    768         block6a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_conv (Conv2D)    (None, 7, 7, 1152)   221184      block6a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_bn (BatchNormali (None, 7, 7, 1152)   4608        block6b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_activation (Acti (None, 7, 7, 1152)   0           block6b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_dwconv (DepthwiseConv2D (None, 7, 7, 1152)   28800       block6b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6b_bn (BatchNormalization) (None, 7, 7, 1152)   4608        block6b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6b_activation (Activation) (None, 7, 7, 1152)   0           block6b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_squeeze (GlobalAvera (None, 1152)         0           block6b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block6b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block6b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block6b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_excite (Multiply)    (None, 7, 7, 1152)   0           block6b_activation[0][0]         \n",
      "                                                                 block6b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_project_conv (Conv2D)   (None, 7, 7, 192)    221184      block6b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_project_bn (BatchNormal (None, 7, 7, 192)    768         block6b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6b_drop (Dropout)          (None, 7, 7, 192)    0           block6b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_add (Add)               (None, 7, 7, 192)    0           block6b_drop[0][0]               \n",
      "                                                                 block6a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_conv (Conv2D)    (None, 7, 7, 1152)   221184      block6b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_bn (BatchNormali (None, 7, 7, 1152)   4608        block6c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_activation (Acti (None, 7, 7, 1152)   0           block6c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_dwconv (DepthwiseConv2D (None, 7, 7, 1152)   28800       block6c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6c_bn (BatchNormalization) (None, 7, 7, 1152)   4608        block6c_dwconv[0][0]             \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "block6c_activation (Activation) (None, 7, 7, 1152)   0           block6c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_squeeze (GlobalAvera (None, 1152)         0           block6c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block6c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block6c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block6c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_excite (Multiply)    (None, 7, 7, 1152)   0           block6c_activation[0][0]         \n",
      "                                                                 block6c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_project_conv (Conv2D)   (None, 7, 7, 192)    221184      block6c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_project_bn (BatchNormal (None, 7, 7, 192)    768         block6c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6c_drop (Dropout)          (None, 7, 7, 192)    0           block6c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_add (Add)               (None, 7, 7, 192)    0           block6c_drop[0][0]               \n",
      "                                                                 block6b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_conv (Conv2D)    (None, 7, 7, 1152)   221184      block6c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_bn (BatchNormali (None, 7, 7, 1152)   4608        block6d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_activation (Acti (None, 7, 7, 1152)   0           block6d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_dwconv (DepthwiseConv2D (None, 7, 7, 1152)   28800       block6d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6d_bn (BatchNormalization) (None, 7, 7, 1152)   4608        block6d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6d_activation (Activation) (None, 7, 7, 1152)   0           block6d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_squeeze (GlobalAvera (None, 1152)         0           block6d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block6d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block6d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block6d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_excite (Multiply)    (None, 7, 7, 1152)   0           block6d_activation[0][0]         \n",
      "                                                                 block6d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_project_conv (Conv2D)   (None, 7, 7, 192)    221184      block6d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_project_bn (BatchNormal (None, 7, 7, 192)    768         block6d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6d_drop (Dropout)          (None, 7, 7, 192)    0           block6d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_add (Add)               (None, 7, 7, 192)    0           block6d_drop[0][0]               \n",
      "                                                                 block6c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_conv (Conv2D)    (None, 7, 7, 1152)   221184      block6d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_bn (BatchNormali (None, 7, 7, 1152)   4608        block7a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_activation (Acti (None, 7, 7, 1152)   0           block7a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_dwconv (DepthwiseConv2D (None, 7, 7, 1152)   10368       block7a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block7a_bn (BatchNormalization) (None, 7, 7, 1152)   4608        block7a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block7a_activation (Activation) (None, 7, 7, 1152)   0           block7a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_squeeze (GlobalAvera (None, 1152)         0           block7a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block7a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block7a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block7a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_excite (Multiply)    (None, 7, 7, 1152)   0           block7a_activation[0][0]         \n",
      "                                                                 block7a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_project_conv (Conv2D)   (None, 7, 7, 320)    368640      block7a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_project_bn (BatchNormal (None, 7, 7, 320)    1280        block7a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "top_conv (Conv2D)               (None, 7, 7, 1280)   409600      block7a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "top_bn (BatchNormalization)     (None, 7, 7, 1280)   5120        top_conv[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "top_activation (Activation)     (None, 7, 7, 1280)   0           top_bn[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "avg_pool (GlobalAveragePooling2 (None, 1280)         0           top_activation[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "top_dropout (Dropout)           (None, 1280)         0           avg_pool[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "predictions (Dense)             (None, 1000)         1281000     top_dropout[0][0]                \n",
      "==================================================================================================\n",
      "Total params: 5,330,571\n",
      "Trainable params: 5,288,548\n",
      "Non-trainable params: 42,023\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input image shape: (1, 224, 224, 3)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1f042e75e48>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "from matplotlib.pyplot import imread\n",
    "from matplotlib.pyplot import imshow\n",
    "from tensorflow.keras.preprocessing import image\n",
    "from tensorflow.keras.applications.imagenet_utils import decode_predictions\n",
    "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n",
    "\n",
    "\n",
    "img_path = 'unseen_imagenet.jfif'\n",
    "\n",
    "img = cv2.imread(img_path)\n",
    "img = cv2.resize(img, (224, 224))\n",
    "\n",
    "x = np.expand_dims(img, axis=0)\n",
    "x = preprocess_input(x)\n",
    "\n",
    "print('Input image shape:', x.shape)\n",
    "\n",
    "my_image = imread(img_path)\n",
    "imshow(my_image)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "  3.35538680e-05 1.81508221e-05 1.42316176e-05 1.36496863e-04\n",
      "  1.86460838e-05 3.16801525e-05 6.08603841e-05 3.53270698e-05\n",
      "  2.88067276e-05 3.08106428e-05 1.69076287e-04 3.06040965e-05\n",
      "  5.28844357e-05 4.59977173e-06 2.94262281e-05 6.73565446e-05\n",
      "  1.93178766e-05 1.67543229e-04 1.54900827e-05 1.45895492e-05\n",
      "  1.07264088e-04 1.46620732e-04 4.96169028e-04 2.12547329e-05\n",
      "  6.14555829e-05 9.43898704e-05 4.78285765e-05 1.14470298e-04\n",
      "  3.40658844e-05 1.27177691e-05 1.77539132e-05 5.42505513e-05\n",
      "  8.11294885e-05 2.47329535e-05 1.29651729e-04 5.83992805e-05\n",
      "  2.79981359e-05 5.82704924e-05 1.09443536e-04 5.58217405e-04\n",
      "  4.13617199e-05 1.51325614e-04 1.08529202e-04 3.87338332e-05\n",
      "  8.93523029e-05 6.37016201e-05 4.63191718e-05 8.94091136e-06\n",
      "  3.28935494e-05 3.55554184e-05 1.47922456e-05 3.92585680e-05\n",
      "  2.18649020e-05 4.40313343e-05 2.30350761e-05 8.48022246e-05\n",
      "  4.51921551e-05 4.93626285e-05 2.38190896e-05 1.50654872e-04\n",
      "  1.08480461e-04 1.24195958e-05 5.24201205e-05 5.88656767e-05\n",
      "  1.37079132e-05 2.92360164e-05 1.21451580e-04 2.89807140e-05\n",
      "  1.32373898e-04 3.92620896e-05 8.14214727e-05 1.21723779e-05\n",
      "  1.95285422e-04 3.62916944e-05 7.24313650e-05 2.99394633e-05\n",
      "  5.46887204e-05 3.87535656e-05 8.81033338e-06 5.10452257e-04\n",
      "  2.25143391e-04 3.59587211e-05 2.23087391e-05 7.56445152e-05\n",
      "  2.39461133e-05 4.71515013e-05 1.14146635e-04 1.33179046e-05\n",
      "  7.55533838e-05 2.04106051e-04 7.77896639e-05 1.00499725e-04\n",
      "  3.52332645e-05 1.96765995e-05 1.89107868e-05 3.80570273e-05\n",
      "  1.01529542e-04 1.69873510e-05 1.29367709e-05 2.85338301e-05\n",
      "  1.55950256e-05 1.07466449e-05 2.79215037e-05 1.02796017e-04\n",
      "  1.99563394e-04 3.23985332e-05 3.59608493e-05 4.91808787e-05\n",
      "  1.33457565e-04 5.52168203e-05 7.53788554e-05 7.52018677e-05\n",
      "  4.28582098e-05 9.07760987e-05 6.82399404e-05 4.58676368e-05\n",
      "  1.21094718e-05 3.83235165e-05 4.78904622e-05 4.00956524e-05\n",
      "  4.76262067e-05 3.29840186e-05 4.54897148e-04 6.31761868e-05\n",
      "  3.56626464e-04 5.94267440e-05 4.65265875e-05 8.36119507e-05\n",
      "  3.41979758e-05 3.26187437e-05 6.67524218e-05 5.44829854e-05\n",
      "  3.09753790e-03 6.86716288e-04 4.38009847e-05 2.67973846e-05\n",
      "  2.36195992e-05 5.92242577e-05 2.33419069e-05 6.45546970e-05\n",
      "  3.10997129e-05 3.06413349e-05 3.49696529e-05 2.16419267e-05\n",
      "  7.73175052e-05 1.92740044e-05 3.27056972e-04 7.52796550e-05\n",
      "  7.90622435e-05 2.65590152e-05 3.89959132e-05 3.87987166e-05\n",
      "  4.70897103e-05 6.73467075e-05 2.29762554e-05 5.91756434e-05\n",
      "  2.94437159e-05 7.83116047e-05 6.71498274e-05 2.57241627e-05\n",
      "  5.30219477e-05 1.15630519e-05 5.74539226e-05 2.85182978e-05\n",
      "  7.18256269e-05 3.45146109e-05 4.98768641e-05 7.08242369e-05\n",
      "  4.35961156e-05 1.68045954e-05 2.26906923e-04 4.53075245e-06\n",
      "  2.54801998e-05 2.94274068e-05 2.00458471e-05 3.78751211e-05\n",
      "  5.83614747e-05 1.99699825e-05 9.49106106e-05 4.92470062e-05\n",
      "  1.88680551e-05 2.86095510e-05 1.81479518e-05 1.66284044e-05\n",
      "  1.71408228e-05 2.28530917e-05 1.61170647e-05 6.60036822e-05\n",
      "  2.03777636e-05 8.25358438e-05 4.29763350e-05 7.20269527e-05\n",
      "  6.35644101e-05 1.57774557e-05 3.18499442e-05 7.45185389e-06\n",
      "  5.58615175e-05 5.68368523e-05 3.22506858e-05 4.56719536e-05\n",
      "  1.17928785e-05 5.19096575e-05 1.16391762e-04 5.24658790e-05\n",
      "  2.73782407e-05 7.24548518e-05 8.97679056e-05 2.99230524e-05\n",
      "  2.43325139e-05 3.00247848e-05 3.08306044e-05 1.97656154e-05\n",
      "  4.84837801e-05 2.09497266e-05 2.62400590e-05 5.96727659e-05\n",
      "  2.00700251e-05 3.71254100e-05 2.11170154e-05 2.08852543e-05\n",
      "  1.13330034e-05 2.90126518e-05 9.40600421e-06 3.20078580e-05\n",
      "  2.20669262e-05 7.40683481e-06 2.89935397e-05 7.65702862e-05]]\n"
     ]
    }
   ],
   "source": [
    "preds=model.predict(x)\n",
    "print(\"predicted class: \", preds )    # probabilities for being in each of the 1000 classes\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[('n02124075', 'Egyptian_cat', 0.4961282),\n",
       "  ('n02123597', 'Siamese_cat', 0.36762524),\n",
       "  ('n02123159', 'tiger_cat', 0.032050576)]]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decode_predictions(preds,top=3)  #  # probabilities for being in top of the 3 classes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EfficientNetB1 Pretrained Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/keras-applications/efficientnetb1.h5\n",
      "32153600/32148312 [==============================] - 5s 0us/step\n"
     ]
    }
   ],
   "source": [
    "\n",
    "from tensorflow.keras.applications import EfficientNetB1\n",
    "model = EfficientNetB1(weights='imagenet')  #trained on 1000 classes of Imagenet dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"efficientnetb1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_4 (InputLayer)            [(None, 240, 240, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "rescaling_3 (Rescaling)         (None, 240, 240, 3)  0           input_4[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "normalization_3 (Normalization) (None, 240, 240, 3)  7           rescaling_3[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "stem_conv_pad (ZeroPadding2D)   (None, 241, 241, 3)  0           normalization_3[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "stem_conv (Conv2D)              (None, 120, 120, 32) 864         stem_conv_pad[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "stem_bn (BatchNormalization)    (None, 120, 120, 32) 128         stem_conv[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "stem_activation (Activation)    (None, 120, 120, 32) 0           stem_bn[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "block1a_dwconv (DepthwiseConv2D (None, 120, 120, 32) 288         stem_activation[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "block1a_bn (BatchNormalization) (None, 120, 120, 32) 128         block1a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block1a_activation (Activation) (None, 120, 120, 32) 0           block1a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_squeeze (GlobalAvera (None, 32)           0           block1a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_reshape (Reshape)    (None, 1, 1, 32)     0           block1a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_reduce (Conv2D)      (None, 1, 1, 8)      264         block1a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_expand (Conv2D)      (None, 1, 1, 32)     288         block1a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_excite (Multiply)    (None, 120, 120, 32) 0           block1a_activation[0][0]         \n",
      "                                                                 block1a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_project_conv (Conv2D)   (None, 120, 120, 16) 512         block1a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_project_bn (BatchNormal (None, 120, 120, 16) 64          block1a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1b_dwconv (DepthwiseConv2D (None, 120, 120, 16) 144         block1a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_bn (BatchNormalization) (None, 120, 120, 16) 64          block1b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block1b_activation (Activation) (None, 120, 120, 16) 0           block1b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_squeeze (GlobalAvera (None, 16)           0           block1b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_reshape (Reshape)    (None, 1, 1, 16)     0           block1b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_reduce (Conv2D)      (None, 1, 1, 4)      68          block1b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_expand (Conv2D)      (None, 1, 1, 16)     80          block1b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_excite (Multiply)    (None, 120, 120, 16) 0           block1b_activation[0][0]         \n",
      "                                                                 block1b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1b_project_conv (Conv2D)   (None, 120, 120, 16) 256         block1b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1b_project_bn (BatchNormal (None, 120, 120, 16) 64          block1b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1b_drop (Dropout)          (None, 120, 120, 16) 0           block1b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_add (Add)               (None, 120, 120, 16) 0           block1b_drop[0][0]               \n",
      "                                                                 block1a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_conv (Conv2D)    (None, 120, 120, 96) 1536        block1b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_bn (BatchNormali (None, 120, 120, 96) 384         block2a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_activation (Acti (None, 120, 120, 96) 0           block2a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_dwconv_pad (ZeroPadding (None, 121, 121, 96) 0           block2a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2a_dwconv (DepthwiseConv2D (None, 60, 60, 96)   864         block2a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_bn (BatchNormalization) (None, 60, 60, 96)   384         block2a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2a_activation (Activation) (None, 60, 60, 96)   0           block2a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_squeeze (GlobalAvera (None, 96)           0           block2a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_reshape (Reshape)    (None, 1, 1, 96)     0           block2a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_reduce (Conv2D)      (None, 1, 1, 4)      388         block2a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_expand (Conv2D)      (None, 1, 1, 96)     480         block2a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_excite (Multiply)    (None, 60, 60, 96)   0           block2a_activation[0][0]         \n",
      "                                                                 block2a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_project_conv (Conv2D)   (None, 60, 60, 24)   2304        block2a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_project_bn (BatchNormal (None, 60, 60, 24)   96          block2a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_conv (Conv2D)    (None, 60, 60, 144)  3456        block2a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_bn (BatchNormali (None, 60, 60, 144)  576         block2b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_activation (Acti (None, 60, 60, 144)  0           block2b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_dwconv (DepthwiseConv2D (None, 60, 60, 144)  1296        block2b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2b_bn (BatchNormalization) (None, 60, 60, 144)  576         block2b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2b_activation (Activation) (None, 60, 60, 144)  0           block2b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_squeeze (GlobalAvera (None, 144)          0           block2b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_reshape (Reshape)    (None, 1, 1, 144)    0           block2b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_reduce (Conv2D)      (None, 1, 1, 6)      870         block2b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_expand (Conv2D)      (None, 1, 1, 144)    1008        block2b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_excite (Multiply)    (None, 60, 60, 144)  0           block2b_activation[0][0]         \n",
      "                                                                 block2b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_project_conv (Conv2D)   (None, 60, 60, 24)   3456        block2b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_project_bn (BatchNormal (None, 60, 60, 24)   96          block2b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2b_drop (Dropout)          (None, 60, 60, 24)   0           block2b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_add (Add)               (None, 60, 60, 24)   0           block2b_drop[0][0]               \n",
      "                                                                 block2a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_expand_conv (Conv2D)    (None, 60, 60, 144)  3456        block2b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2c_expand_bn (BatchNormali (None, 60, 60, 144)  576         block2c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2c_expand_activation (Acti (None, 60, 60, 144)  0           block2c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_dwconv (DepthwiseConv2D (None, 60, 60, 144)  1296        block2c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2c_bn (BatchNormalization) (None, 60, 60, 144)  576         block2c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2c_activation (Activation) (None, 60, 60, 144)  0           block2c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_squeeze (GlobalAvera (None, 144)          0           block2c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_reshape (Reshape)    (None, 1, 1, 144)    0           block2c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_reduce (Conv2D)      (None, 1, 1, 6)      870         block2c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_expand (Conv2D)      (None, 1, 1, 144)    1008        block2c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_excite (Multiply)    (None, 60, 60, 144)  0           block2c_activation[0][0]         \n",
      "                                                                 block2c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_project_conv (Conv2D)   (None, 60, 60, 24)   3456        block2c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_project_bn (BatchNormal (None, 60, 60, 24)   96          block2c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2c_drop (Dropout)          (None, 60, 60, 24)   0           block2c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_add (Add)               (None, 60, 60, 24)   0           block2c_drop[0][0]               \n",
      "                                                                 block2b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_conv (Conv2D)    (None, 60, 60, 144)  3456        block2c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_bn (BatchNormali (None, 60, 60, 144)  576         block3a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_activation (Acti (None, 60, 60, 144)  0           block3a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_dwconv_pad (ZeroPadding (None, 63, 63, 144)  0           block3a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3a_dwconv (DepthwiseConv2D (None, 30, 30, 144)  3600        block3a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_bn (BatchNormalization) (None, 30, 30, 144)  576         block3a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3a_activation (Activation) (None, 30, 30, 144)  0           block3a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_squeeze (GlobalAvera (None, 144)          0           block3a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_reshape (Reshape)    (None, 1, 1, 144)    0           block3a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_reduce (Conv2D)      (None, 1, 1, 6)      870         block3a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_expand (Conv2D)      (None, 1, 1, 144)    1008        block3a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_excite (Multiply)    (None, 30, 30, 144)  0           block3a_activation[0][0]         \n",
      "                                                                 block3a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_project_conv (Conv2D)   (None, 30, 30, 40)   5760        block3a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_project_bn (BatchNormal (None, 30, 30, 40)   160         block3a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_conv (Conv2D)    (None, 30, 30, 240)  9600        block3a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_bn (BatchNormali (None, 30, 30, 240)  960         block3b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_activation (Acti (None, 30, 30, 240)  0           block3b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_dwconv (DepthwiseConv2D (None, 30, 30, 240)  6000        block3b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3b_bn (BatchNormalization) (None, 30, 30, 240)  960         block3b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3b_activation (Activation) (None, 30, 30, 240)  0           block3b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_squeeze (GlobalAvera (None, 240)          0           block3b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_reshape (Reshape)    (None, 1, 1, 240)    0           block3b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_reduce (Conv2D)      (None, 1, 1, 10)     2410        block3b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_expand (Conv2D)      (None, 1, 1, 240)    2640        block3b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_excite (Multiply)    (None, 30, 30, 240)  0           block3b_activation[0][0]         \n",
      "                                                                 block3b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_project_conv (Conv2D)   (None, 30, 30, 40)   9600        block3b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_project_bn (BatchNormal (None, 30, 30, 40)   160         block3b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3b_drop (Dropout)          (None, 30, 30, 40)   0           block3b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_add (Add)               (None, 30, 30, 40)   0           block3b_drop[0][0]               \n",
      "                                                                 block3a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_expand_conv (Conv2D)    (None, 30, 30, 240)  9600        block3b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3c_expand_bn (BatchNormali (None, 30, 30, 240)  960         block3c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3c_expand_activation (Acti (None, 30, 30, 240)  0           block3c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_dwconv (DepthwiseConv2D (None, 30, 30, 240)  6000        block3c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3c_bn (BatchNormalization) (None, 30, 30, 240)  960         block3c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3c_activation (Activation) (None, 30, 30, 240)  0           block3c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_squeeze (GlobalAvera (None, 240)          0           block3c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_reshape (Reshape)    (None, 1, 1, 240)    0           block3c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_reduce (Conv2D)      (None, 1, 1, 10)     2410        block3c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_expand (Conv2D)      (None, 1, 1, 240)    2640        block3c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_excite (Multiply)    (None, 30, 30, 240)  0           block3c_activation[0][0]         \n",
      "                                                                 block3c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_project_conv (Conv2D)   (None, 30, 30, 40)   9600        block3c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_project_bn (BatchNormal (None, 30, 30, 40)   160         block3c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3c_drop (Dropout)          (None, 30, 30, 40)   0           block3c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_add (Add)               (None, 30, 30, 40)   0           block3c_drop[0][0]               \n",
      "                                                                 block3b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_conv (Conv2D)    (None, 30, 30, 240)  9600        block3c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_bn (BatchNormali (None, 30, 30, 240)  960         block4a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_activation (Acti (None, 30, 30, 240)  0           block4a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_dwconv_pad (ZeroPadding (None, 31, 31, 240)  0           block4a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4a_dwconv (DepthwiseConv2D (None, 15, 15, 240)  2160        block4a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_bn (BatchNormalization) (None, 15, 15, 240)  960         block4a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4a_activation (Activation) (None, 15, 15, 240)  0           block4a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_squeeze (GlobalAvera (None, 240)          0           block4a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_reshape (Reshape)    (None, 1, 1, 240)    0           block4a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_reduce (Conv2D)      (None, 1, 1, 10)     2410        block4a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_expand (Conv2D)      (None, 1, 1, 240)    2640        block4a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_excite (Multiply)    (None, 15, 15, 240)  0           block4a_activation[0][0]         \n",
      "                                                                 block4a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_project_conv (Conv2D)   (None, 15, 15, 80)   19200       block4a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_project_bn (BatchNormal (None, 15, 15, 80)   320         block4a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_conv (Conv2D)    (None, 15, 15, 480)  38400       block4a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_bn (BatchNormali (None, 15, 15, 480)  1920        block4b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_activation (Acti (None, 15, 15, 480)  0           block4b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_dwconv (DepthwiseConv2D (None, 15, 15, 480)  4320        block4b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4b_bn (BatchNormalization) (None, 15, 15, 480)  1920        block4b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4b_activation (Activation) (None, 15, 15, 480)  0           block4b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_squeeze (GlobalAvera (None, 480)          0           block4b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_reshape (Reshape)    (None, 1, 1, 480)    0           block4b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block4b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block4b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_excite (Multiply)    (None, 15, 15, 480)  0           block4b_activation[0][0]         \n",
      "                                                                 block4b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_project_conv (Conv2D)   (None, 15, 15, 80)   38400       block4b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_project_bn (BatchNormal (None, 15, 15, 80)   320         block4b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4b_drop (Dropout)          (None, 15, 15, 80)   0           block4b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_add (Add)               (None, 15, 15, 80)   0           block4b_drop[0][0]               \n",
      "                                                                 block4a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_conv (Conv2D)    (None, 15, 15, 480)  38400       block4b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_bn (BatchNormali (None, 15, 15, 480)  1920        block4c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_activation (Acti (None, 15, 15, 480)  0           block4c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_dwconv (DepthwiseConv2D (None, 15, 15, 480)  4320        block4c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4c_bn (BatchNormalization) (None, 15, 15, 480)  1920        block4c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4c_activation (Activation) (None, 15, 15, 480)  0           block4c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_squeeze (GlobalAvera (None, 480)          0           block4c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_reshape (Reshape)    (None, 1, 1, 480)    0           block4c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block4c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block4c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_excite (Multiply)    (None, 15, 15, 480)  0           block4c_activation[0][0]         \n",
      "                                                                 block4c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_project_conv (Conv2D)   (None, 15, 15, 80)   38400       block4c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_project_bn (BatchNormal (None, 15, 15, 80)   320         block4c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4c_drop (Dropout)          (None, 15, 15, 80)   0           block4c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_add (Add)               (None, 15, 15, 80)   0           block4c_drop[0][0]               \n",
      "                                                                 block4b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4d_expand_conv (Conv2D)    (None, 15, 15, 480)  38400       block4c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4d_expand_bn (BatchNormali (None, 15, 15, 480)  1920        block4d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4d_expand_activation (Acti (None, 15, 15, 480)  0           block4d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_dwconv (DepthwiseConv2D (None, 15, 15, 480)  4320        block4d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4d_bn (BatchNormalization) (None, 15, 15, 480)  1920        block4d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4d_activation (Activation) (None, 15, 15, 480)  0           block4d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_squeeze (GlobalAvera (None, 480)          0           block4d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_reshape (Reshape)    (None, 1, 1, 480)    0           block4d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block4d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block4d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_excite (Multiply)    (None, 15, 15, 480)  0           block4d_activation[0][0]         \n",
      "                                                                 block4d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_project_conv (Conv2D)   (None, 15, 15, 80)   38400       block4d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_project_bn (BatchNormal (None, 15, 15, 80)   320         block4d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4d_drop (Dropout)          (None, 15, 15, 80)   0           block4d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_add (Add)               (None, 15, 15, 80)   0           block4d_drop[0][0]               \n",
      "                                                                 block4c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_conv (Conv2D)    (None, 15, 15, 480)  38400       block4d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_bn (BatchNormali (None, 15, 15, 480)  1920        block5a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_activation (Acti (None, 15, 15, 480)  0           block5a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_dwconv (DepthwiseConv2D (None, 15, 15, 480)  12000       block5a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5a_bn (BatchNormalization) (None, 15, 15, 480)  1920        block5a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5a_activation (Activation) (None, 15, 15, 480)  0           block5a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_squeeze (GlobalAvera (None, 480)          0           block5a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_reshape (Reshape)    (None, 1, 1, 480)    0           block5a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block5a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block5a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_excite (Multiply)    (None, 15, 15, 480)  0           block5a_activation[0][0]         \n",
      "                                                                 block5a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_project_conv (Conv2D)   (None, 15, 15, 112)  53760       block5a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_project_bn (BatchNormal (None, 15, 15, 112)  448         block5a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_conv (Conv2D)    (None, 15, 15, 672)  75264       block5a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_bn (BatchNormali (None, 15, 15, 672)  2688        block5b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_activation (Acti (None, 15, 15, 672)  0           block5b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_dwconv (DepthwiseConv2D (None, 15, 15, 672)  16800       block5b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5b_bn (BatchNormalization) (None, 15, 15, 672)  2688        block5b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5b_activation (Activation) (None, 15, 15, 672)  0           block5b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_squeeze (GlobalAvera (None, 672)          0           block5b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_reshape (Reshape)    (None, 1, 1, 672)    0           block5b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_reduce (Conv2D)      (None, 1, 1, 28)     18844       block5b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_expand (Conv2D)      (None, 1, 1, 672)    19488       block5b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_excite (Multiply)    (None, 15, 15, 672)  0           block5b_activation[0][0]         \n",
      "                                                                 block5b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_project_conv (Conv2D)   (None, 15, 15, 112)  75264       block5b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_project_bn (BatchNormal (None, 15, 15, 112)  448         block5b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5b_drop (Dropout)          (None, 15, 15, 112)  0           block5b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_add (Add)               (None, 15, 15, 112)  0           block5b_drop[0][0]               \n",
      "                                                                 block5a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_conv (Conv2D)    (None, 15, 15, 672)  75264       block5b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_bn (BatchNormali (None, 15, 15, 672)  2688        block5c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_activation (Acti (None, 15, 15, 672)  0           block5c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_dwconv (DepthwiseConv2D (None, 15, 15, 672)  16800       block5c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5c_bn (BatchNormalization) (None, 15, 15, 672)  2688        block5c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5c_activation (Activation) (None, 15, 15, 672)  0           block5c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_squeeze (GlobalAvera (None, 672)          0           block5c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_reshape (Reshape)    (None, 1, 1, 672)    0           block5c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_reduce (Conv2D)      (None, 1, 1, 28)     18844       block5c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_expand (Conv2D)      (None, 1, 1, 672)    19488       block5c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_excite (Multiply)    (None, 15, 15, 672)  0           block5c_activation[0][0]         \n",
      "                                                                 block5c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_project_conv (Conv2D)   (None, 15, 15, 112)  75264       block5c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_project_bn (BatchNormal (None, 15, 15, 112)  448         block5c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5c_drop (Dropout)          (None, 15, 15, 112)  0           block5c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_add (Add)               (None, 15, 15, 112)  0           block5c_drop[0][0]               \n",
      "                                                                 block5b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5d_expand_conv (Conv2D)    (None, 15, 15, 672)  75264       block5c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5d_expand_bn (BatchNormali (None, 15, 15, 672)  2688        block5d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5d_expand_activation (Acti (None, 15, 15, 672)  0           block5d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_dwconv (DepthwiseConv2D (None, 15, 15, 672)  16800       block5d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5d_bn (BatchNormalization) (None, 15, 15, 672)  2688        block5d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5d_activation (Activation) (None, 15, 15, 672)  0           block5d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_squeeze (GlobalAvera (None, 672)          0           block5d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_reshape (Reshape)    (None, 1, 1, 672)    0           block5d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_reduce (Conv2D)      (None, 1, 1, 28)     18844       block5d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_expand (Conv2D)      (None, 1, 1, 672)    19488       block5d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_excite (Multiply)    (None, 15, 15, 672)  0           block5d_activation[0][0]         \n",
      "                                                                 block5d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_project_conv (Conv2D)   (None, 15, 15, 112)  75264       block5d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_project_bn (BatchNormal (None, 15, 15, 112)  448         block5d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5d_drop (Dropout)          (None, 15, 15, 112)  0           block5d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_add (Add)               (None, 15, 15, 112)  0           block5d_drop[0][0]               \n",
      "                                                                 block5c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_conv (Conv2D)    (None, 15, 15, 672)  75264       block5d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_bn (BatchNormali (None, 15, 15, 672)  2688        block6a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_activation (Acti (None, 15, 15, 672)  0           block6a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_dwconv_pad (ZeroPadding (None, 19, 19, 672)  0           block6a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6a_dwconv (DepthwiseConv2D (None, 8, 8, 672)    16800       block6a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_bn (BatchNormalization) (None, 8, 8, 672)    2688        block6a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6a_activation (Activation) (None, 8, 8, 672)    0           block6a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_squeeze (GlobalAvera (None, 672)          0           block6a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_reshape (Reshape)    (None, 1, 1, 672)    0           block6a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_reduce (Conv2D)      (None, 1, 1, 28)     18844       block6a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_expand (Conv2D)      (None, 1, 1, 672)    19488       block6a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_excite (Multiply)    (None, 8, 8, 672)    0           block6a_activation[0][0]         \n",
      "                                                                 block6a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_project_conv (Conv2D)   (None, 8, 8, 192)    129024      block6a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_project_bn (BatchNormal (None, 8, 8, 192)    768         block6a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_conv (Conv2D)    (None, 8, 8, 1152)   221184      block6a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_bn (BatchNormali (None, 8, 8, 1152)   4608        block6b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_activation (Acti (None, 8, 8, 1152)   0           block6b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_dwconv (DepthwiseConv2D (None, 8, 8, 1152)   28800       block6b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6b_bn (BatchNormalization) (None, 8, 8, 1152)   4608        block6b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6b_activation (Activation) (None, 8, 8, 1152)   0           block6b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_squeeze (GlobalAvera (None, 1152)         0           block6b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block6b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block6b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block6b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_excite (Multiply)    (None, 8, 8, 1152)   0           block6b_activation[0][0]         \n",
      "                                                                 block6b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_project_conv (Conv2D)   (None, 8, 8, 192)    221184      block6b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_project_bn (BatchNormal (None, 8, 8, 192)    768         block6b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6b_drop (Dropout)          (None, 8, 8, 192)    0           block6b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_add (Add)               (None, 8, 8, 192)    0           block6b_drop[0][0]               \n",
      "                                                                 block6a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_conv (Conv2D)    (None, 8, 8, 1152)   221184      block6b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_bn (BatchNormali (None, 8, 8, 1152)   4608        block6c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_activation (Acti (None, 8, 8, 1152)   0           block6c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_dwconv (DepthwiseConv2D (None, 8, 8, 1152)   28800       block6c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6c_bn (BatchNormalization) (None, 8, 8, 1152)   4608        block6c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6c_activation (Activation) (None, 8, 8, 1152)   0           block6c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_squeeze (GlobalAvera (None, 1152)         0           block6c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block6c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block6c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block6c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_excite (Multiply)    (None, 8, 8, 1152)   0           block6c_activation[0][0]         \n",
      "                                                                 block6c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_project_conv (Conv2D)   (None, 8, 8, 192)    221184      block6c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_project_bn (BatchNormal (None, 8, 8, 192)    768         block6c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6c_drop (Dropout)          (None, 8, 8, 192)    0           block6c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_add (Add)               (None, 8, 8, 192)    0           block6c_drop[0][0]               \n",
      "                                                                 block6b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_conv (Conv2D)    (None, 8, 8, 1152)   221184      block6c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_bn (BatchNormali (None, 8, 8, 1152)   4608        block6d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_activation (Acti (None, 8, 8, 1152)   0           block6d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_dwconv (DepthwiseConv2D (None, 8, 8, 1152)   28800       block6d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6d_bn (BatchNormalization) (None, 8, 8, 1152)   4608        block6d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6d_activation (Activation) (None, 8, 8, 1152)   0           block6d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_squeeze (GlobalAvera (None, 1152)         0           block6d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block6d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block6d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block6d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_excite (Multiply)    (None, 8, 8, 1152)   0           block6d_activation[0][0]         \n",
      "                                                                 block6d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_project_conv (Conv2D)   (None, 8, 8, 192)    221184      block6d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_project_bn (BatchNormal (None, 8, 8, 192)    768         block6d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6d_drop (Dropout)          (None, 8, 8, 192)    0           block6d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_add (Add)               (None, 8, 8, 192)    0           block6d_drop[0][0]               \n",
      "                                                                 block6c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6e_expand_conv (Conv2D)    (None, 8, 8, 1152)   221184      block6d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6e_expand_bn (BatchNormali (None, 8, 8, 1152)   4608        block6e_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6e_expand_activation (Acti (None, 8, 8, 1152)   0           block6e_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_dwconv (DepthwiseConv2D (None, 8, 8, 1152)   28800       block6e_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6e_bn (BatchNormalization) (None, 8, 8, 1152)   4608        block6e_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6e_activation (Activation) (None, 8, 8, 1152)   0           block6e_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_squeeze (GlobalAvera (None, 1152)         0           block6e_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block6e_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block6e_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block6e_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_excite (Multiply)    (None, 8, 8, 1152)   0           block6e_activation[0][0]         \n",
      "                                                                 block6e_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_project_conv (Conv2D)   (None, 8, 8, 192)    221184      block6e_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_project_bn (BatchNormal (None, 8, 8, 192)    768         block6e_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6e_drop (Dropout)          (None, 8, 8, 192)    0           block6e_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_add (Add)               (None, 8, 8, 192)    0           block6e_drop[0][0]               \n",
      "                                                                 block6d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_conv (Conv2D)    (None, 8, 8, 1152)   221184      block6e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_bn (BatchNormali (None, 8, 8, 1152)   4608        block7a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_activation (Acti (None, 8, 8, 1152)   0           block7a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_dwconv (DepthwiseConv2D (None, 8, 8, 1152)   10368       block7a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block7a_bn (BatchNormalization) (None, 8, 8, 1152)   4608        block7a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block7a_activation (Activation) (None, 8, 8, 1152)   0           block7a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_squeeze (GlobalAvera (None, 1152)         0           block7a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_reshape (Reshape)    (None, 1, 1, 1152)   0           block7a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_reduce (Conv2D)      (None, 1, 1, 48)     55344       block7a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_expand (Conv2D)      (None, 1, 1, 1152)   56448       block7a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_excite (Multiply)    (None, 8, 8, 1152)   0           block7a_activation[0][0]         \n",
      "                                                                 block7a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_project_conv (Conv2D)   (None, 8, 8, 320)    368640      block7a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_project_bn (BatchNormal (None, 8, 8, 320)    1280        block7a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7b_expand_conv (Conv2D)    (None, 8, 8, 1920)   614400      block7a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_expand_bn (BatchNormali (None, 8, 8, 1920)   7680        block7b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7b_expand_activation (Acti (None, 8, 8, 1920)   0           block7b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_dwconv (DepthwiseConv2D (None, 8, 8, 1920)   17280       block7b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block7b_bn (BatchNormalization) (None, 8, 8, 1920)   7680        block7b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block7b_activation (Activation) (None, 8, 8, 1920)   0           block7b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_squeeze (GlobalAvera (None, 1920)         0           block7b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_reshape (Reshape)    (None, 1, 1, 1920)   0           block7b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_reduce (Conv2D)      (None, 1, 1, 80)     153680      block7b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_expand (Conv2D)      (None, 1, 1, 1920)   155520      block7b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_excite (Multiply)    (None, 8, 8, 1920)   0           block7b_activation[0][0]         \n",
      "                                                                 block7b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_project_conv (Conv2D)   (None, 8, 8, 320)    614400      block7b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_project_bn (BatchNormal (None, 8, 8, 320)    1280        block7b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7b_drop (Dropout)          (None, 8, 8, 320)    0           block7b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_add (Add)               (None, 8, 8, 320)    0           block7b_drop[0][0]               \n",
      "                                                                 block7a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "top_conv (Conv2D)               (None, 8, 8, 1280)   409600      block7b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "top_bn (BatchNormalization)     (None, 8, 8, 1280)   5120        top_conv[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "top_activation (Activation)     (None, 8, 8, 1280)   0           top_bn[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "avg_pool (GlobalAveragePooling2 (None, 1280)         0           top_activation[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "top_dropout (Dropout)           (None, 1280)         0           avg_pool[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "predictions (Dense)             (None, 1000)         1281000     top_dropout[0][0]                \n",
      "==================================================================================================\n",
      "Total params: 7,856,239\n",
      "Trainable params: 7,794,184\n",
      "Non-trainable params: 62,055\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input image shape: (1, 240, 240, 3)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1f04b378a08>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "from matplotlib.pyplot import imread\n",
    "from matplotlib.pyplot import imshow\n",
    "from tensorflow.keras.preprocessing import image\n",
    "from tensorflow.keras.applications.imagenet_utils import decode_predictions\n",
    "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n",
    "\n",
    "\n",
    "img_path = 'unseen_imagenet.jfif'\n",
    "\n",
    "img = cv2.imread(img_path)\n",
    "img = cv2.resize(img, (240, 240))\n",
    "\n",
    "x = np.expand_dims(img, axis=0)\n",
    "x = preprocess_input(x)\n",
    "\n",
    "print('Input image shape:', x.shape)\n",
    "\n",
    "my_image = imread(img_path)\n",
    "imshow(my_image)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "predicted class:  [[1.03070292e-04 2.51523714e-04 1.38944204e-04 7.69921389e-05\n",
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      "  7.54025168e-05 3.08983610e-04 1.44530248e-04 2.04681666e-04\n",
      "  8.30911376e-05 1.39941039e-04 3.15879995e-04 1.32160101e-04\n",
      "  9.52773480e-05 1.46629696e-04 6.66009961e-04 1.30404820e-04\n",
      "  2.31012190e-03 3.89798515e-05 1.15915216e-04 1.53156274e-04\n",
      "  1.64332145e-04 3.55757365e-04 3.33444477e-04 4.40400727e-05\n",
      "  1.51177475e-04 7.46259349e-04 2.95722648e-03 6.62354141e-05\n",
      "  2.43700080e-04 2.08625308e-04 5.09635320e-05 5.88027528e-04\n",
      "  6.06965223e-05 4.08915002e-05 1.50714390e-04 1.79240640e-04\n",
      "  3.72380309e-04 1.51008600e-04 3.42838437e-04 2.57553649e-04\n",
      "  1.93037529e-04 1.22254103e-04 1.22101119e-04 8.77605565e-03\n",
      "  8.63928726e-05 1.93883519e-04 2.76301551e-04 3.36925848e-04\n",
      "  1.26183964e-04 9.97645329e-05 6.06632268e-04 4.61686541e-05\n",
      "  6.09633244e-05 1.16831034e-04 7.87708996e-05 1.12648326e-04\n",
      "  8.45057803e-05 1.02551814e-04 4.27253835e-05 1.77666589e-04\n",
      "  2.96369370e-04 4.29127758e-05 5.76314014e-05 1.88825390e-04\n",
      "  7.09687374e-05 8.89270013e-05 1.28116924e-04 1.99738206e-04\n",
      "  2.43335351e-04 1.19873155e-04 1.35834853e-04 9.23690532e-05\n",
      "  9.46796790e-04 8.25892377e-04 1.50556647e-04 9.57457232e-05\n",
      "  2.10076483e-04 1.64372104e-04 5.74314443e-04 3.65964697e-05\n",
      "  1.35008566e-04 7.55654255e-05 6.46193075e-05 8.61102832e-04\n",
      "  2.99782638e-04 1.32786852e-04 1.82126634e-04 4.78086702e-04\n",
      "  1.07689353e-04 7.36993825e-05 3.45376437e-04 1.88510690e-04\n",
      "  2.73281068e-04 6.62765524e-04 6.04569468e-05 5.62435125e-05\n",
      "  8.54252139e-05 1.27804640e-04 6.01958745e-05 7.29674430e-05\n",
      "  1.71093459e-04 1.10715671e-04 2.49083794e-04 6.44787069e-05\n",
      "  1.51908185e-04 7.78030299e-05 5.47825730e-05 1.03756807e-04\n",
      "  3.02730623e-04 8.57110717e-05 8.92024473e-05 2.89977004e-04\n",
      "  1.51729677e-04 9.72887501e-05 2.21109760e-04 3.92681541e-04\n",
      "  1.39760334e-04 2.31904516e-04 9.47053704e-05 9.54433272e-05\n",
      "  1.00702942e-04 1.47998755e-04 9.85220540e-05 7.64639699e-05\n",
      "  2.04207288e-04 3.49998125e-04 8.41299829e-04 1.36331000e-04\n",
      "  1.35108072e-03 3.51084396e-04 2.98820873e-04 2.81695480e-04\n",
      "  1.00892212e-04 1.01802085e-04 2.09708582e-04 4.22277168e-04\n",
      "  1.37258554e-02 4.96603874e-03 1.48900130e-04 9.78987446e-05\n",
      "  1.00135039e-04 2.29774509e-04 7.57936359e-05 3.12171353e-04\n",
      "  2.47931283e-04 4.90101193e-05 7.01813333e-05 4.61555755e-05\n",
      "  2.29758632e-04 6.26557376e-05 7.02951045e-04 2.12513070e-04\n",
      "  2.31334940e-04 9.59900208e-05 1.27436477e-04 5.49119759e-05\n",
      "  7.30378961e-05 1.25153281e-04 5.58216270e-05 4.23422229e-04\n",
      "  1.41073178e-04 1.49691477e-04 2.01492992e-04 1.28001018e-04\n",
      "  2.27803510e-04 5.20394678e-05 1.09669745e-04 7.40289906e-05\n",
      "  1.58482202e-04 1.98429028e-04 1.25868100e-04 1.64578523e-04\n",
      "  1.65130041e-04 3.25316651e-05 3.13140568e-04 1.40420045e-04\n",
      "  9.80960322e-05 2.11146544e-04 2.45923846e-04 1.41108554e-04\n",
      "  1.41345066e-04 1.87266458e-04 2.58624554e-04 5.85431480e-05\n",
      "  3.12638935e-04 2.15590262e-04 9.46818909e-05 6.86855492e-05\n",
      "  1.22441503e-04 1.57346833e-04 1.80055111e-04 1.43984493e-04\n",
      "  1.16008450e-04 5.98144616e-05 3.02430941e-04 1.70582687e-04\n",
      "  1.17588454e-04 1.00815458e-04 2.04348529e-04 1.46281192e-04\n",
      "  5.53059101e-04 2.81435670e-04 1.66747195e-04 3.56825651e-04\n",
      "  9.80990371e-05 1.38247502e-04 3.03908950e-04 7.58734823e-05\n",
      "  1.19371878e-04 1.65863312e-04 2.11075763e-04 5.08323756e-05\n",
      "  7.84102522e-05 2.33695391e-04 2.70002463e-04 7.66399098e-05\n",
      "  1.30066474e-04 2.41137604e-04 5.28326127e-05 1.87114172e-04\n",
      "  2.29790065e-04 3.00091284e-04 2.99068925e-04 9.49252790e-05\n",
      "  1.62309050e-04 1.68634273e-04 1.54066307e-04 7.61057381e-05\n",
      "  6.29606147e-05 8.58783096e-05 1.67070655e-04 6.29609800e-04]]\n"
     ]
    }
   ],
   "source": [
    "preds=model.predict(x)\n",
    "print(\"predicted class: \", preds )    # probabilities for being in each of the 1000 classes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[('n02124075', 'Egyptian_cat', 0.5695591),\n",
       "  ('n02123597', 'Siamese_cat', 0.086977646),\n",
       "  ('n02123159', 'tiger_cat', 0.049380176)]]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decode_predictions(preds,top=3)  #  # probabilities for being in top of the 3 classes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EfficientNetB7 Pretrained Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.applications import EfficientNetB7\n",
    "modelb7 = EfficientNetB7(weights='imagenet')  #trained on 1000 classes of Imagenet dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"efficientnetb7\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_7 (InputLayer)            [(None, 600, 600, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "rescaling_6 (Rescaling)         (None, 600, 600, 3)  0           input_7[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "normalization_6 (Normalization) (None, 600, 600, 3)  7           rescaling_6[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "stem_conv_pad (ZeroPadding2D)   (None, 601, 601, 3)  0           normalization_6[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "stem_conv (Conv2D)              (None, 300, 300, 64) 1728        stem_conv_pad[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "stem_bn (BatchNormalization)    (None, 300, 300, 64) 256         stem_conv[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "stem_activation (Activation)    (None, 300, 300, 64) 0           stem_bn[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "block1a_dwconv (DepthwiseConv2D (None, 300, 300, 64) 576         stem_activation[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "block1a_bn (BatchNormalization) (None, 300, 300, 64) 256         block1a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block1a_activation (Activation) (None, 300, 300, 64) 0           block1a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_squeeze (GlobalAvera (None, 64)           0           block1a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_reshape (Reshape)    (None, 1, 1, 64)     0           block1a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_reduce (Conv2D)      (None, 1, 1, 16)     1040        block1a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_expand (Conv2D)      (None, 1, 1, 64)     1088        block1a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_se_excite (Multiply)    (None, 300, 300, 64) 0           block1a_activation[0][0]         \n",
      "                                                                 block1a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_project_conv (Conv2D)   (None, 300, 300, 32) 2048        block1a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1a_project_bn (BatchNormal (None, 300, 300, 32) 128         block1a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1b_dwconv (DepthwiseConv2D (None, 300, 300, 32) 288         block1a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_bn (BatchNormalization) (None, 300, 300, 32) 128         block1b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block1b_activation (Activation) (None, 300, 300, 32) 0           block1b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_squeeze (GlobalAvera (None, 32)           0           block1b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_reshape (Reshape)    (None, 1, 1, 32)     0           block1b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_reduce (Conv2D)      (None, 1, 1, 8)      264         block1b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_expand (Conv2D)      (None, 1, 1, 32)     288         block1b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1b_se_excite (Multiply)    (None, 300, 300, 32) 0           block1b_activation[0][0]         \n",
      "                                                                 block1b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1b_project_conv (Conv2D)   (None, 300, 300, 32) 1024        block1b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1b_project_bn (BatchNormal (None, 300, 300, 32) 128         block1b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1b_drop (Dropout)          (None, 300, 300, 32) 0           block1b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1b_add (Add)               (None, 300, 300, 32) 0           block1b_drop[0][0]               \n",
      "                                                                 block1a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1c_dwconv (DepthwiseConv2D (None, 300, 300, 32) 288         block1b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block1c_bn (BatchNormalization) (None, 300, 300, 32) 128         block1c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block1c_activation (Activation) (None, 300, 300, 32) 0           block1c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block1c_se_squeeze (GlobalAvera (None, 32)           0           block1c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1c_se_reshape (Reshape)    (None, 1, 1, 32)     0           block1c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1c_se_reduce (Conv2D)      (None, 1, 1, 8)      264         block1c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1c_se_expand (Conv2D)      (None, 1, 1, 32)     288         block1c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1c_se_excite (Multiply)    (None, 300, 300, 32) 0           block1c_activation[0][0]         \n",
      "                                                                 block1c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1c_project_conv (Conv2D)   (None, 300, 300, 32) 1024        block1c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1c_project_bn (BatchNormal (None, 300, 300, 32) 128         block1c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1c_drop (Dropout)          (None, 300, 300, 32) 0           block1c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1c_add (Add)               (None, 300, 300, 32) 0           block1c_drop[0][0]               \n",
      "                                                                 block1b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block1d_dwconv (DepthwiseConv2D (None, 300, 300, 32) 288         block1c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block1d_bn (BatchNormalization) (None, 300, 300, 32) 128         block1d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block1d_activation (Activation) (None, 300, 300, 32) 0           block1d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block1d_se_squeeze (GlobalAvera (None, 32)           0           block1d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1d_se_reshape (Reshape)    (None, 1, 1, 32)     0           block1d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1d_se_reduce (Conv2D)      (None, 1, 1, 8)      264         block1d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1d_se_expand (Conv2D)      (None, 1, 1, 32)     288         block1d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1d_se_excite (Multiply)    (None, 300, 300, 32) 0           block1d_activation[0][0]         \n",
      "                                                                 block1d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1d_project_conv (Conv2D)   (None, 300, 300, 32) 1024        block1d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block1d_project_bn (BatchNormal (None, 300, 300, 32) 128         block1d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block1d_drop (Dropout)          (None, 300, 300, 32) 0           block1d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block1d_add (Add)               (None, 300, 300, 32) 0           block1d_drop[0][0]               \n",
      "                                                                 block1c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_conv (Conv2D)    (None, 300, 300, 192 6144        block1d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_bn (BatchNormali (None, 300, 300, 192 768         block2a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2a_expand_activation (Acti (None, 300, 300, 192 0           block2a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_dwconv_pad (ZeroPadding (None, 301, 301, 192 0           block2a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2a_dwconv (DepthwiseConv2D (None, 150, 150, 192 1728        block2a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_bn (BatchNormalization) (None, 150, 150, 192 768         block2a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2a_activation (Activation) (None, 150, 150, 192 0           block2a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_squeeze (GlobalAvera (None, 192)          0           block2a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_reshape (Reshape)    (None, 1, 1, 192)    0           block2a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_reduce (Conv2D)      (None, 1, 1, 8)      1544        block2a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_expand (Conv2D)      (None, 1, 1, 192)    1728        block2a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_se_excite (Multiply)    (None, 150, 150, 192 0           block2a_activation[0][0]         \n",
      "                                                                 block2a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_project_conv (Conv2D)   (None, 150, 150, 48) 9216        block2a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2a_project_bn (BatchNormal (None, 150, 150, 48) 192         block2a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_conv (Conv2D)    (None, 150, 150, 288 13824       block2a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_bn (BatchNormali (None, 150, 150, 288 1152        block2b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2b_expand_activation (Acti (None, 150, 150, 288 0           block2b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_dwconv (DepthwiseConv2D (None, 150, 150, 288 2592        block2b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2b_bn (BatchNormalization) (None, 150, 150, 288 1152        block2b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2b_activation (Activation) (None, 150, 150, 288 0           block2b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_squeeze (GlobalAvera (None, 288)          0           block2b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_reshape (Reshape)    (None, 1, 1, 288)    0           block2b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_reduce (Conv2D)      (None, 1, 1, 12)     3468        block2b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_expand (Conv2D)      (None, 1, 1, 288)    3744        block2b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_se_excite (Multiply)    (None, 150, 150, 288 0           block2b_activation[0][0]         \n",
      "                                                                 block2b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_project_conv (Conv2D)   (None, 150, 150, 48) 13824       block2b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2b_project_bn (BatchNormal (None, 150, 150, 48) 192         block2b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2b_drop (Dropout)          (None, 150, 150, 48) 0           block2b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2b_add (Add)               (None, 150, 150, 48) 0           block2b_drop[0][0]               \n",
      "                                                                 block2a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_expand_conv (Conv2D)    (None, 150, 150, 288 13824       block2b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2c_expand_bn (BatchNormali (None, 150, 150, 288 1152        block2c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2c_expand_activation (Acti (None, 150, 150, 288 0           block2c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_dwconv (DepthwiseConv2D (None, 150, 150, 288 2592        block2c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2c_bn (BatchNormalization) (None, 150, 150, 288 1152        block2c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2c_activation (Activation) (None, 150, 150, 288 0           block2c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_squeeze (GlobalAvera (None, 288)          0           block2c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_reshape (Reshape)    (None, 1, 1, 288)    0           block2c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_reduce (Conv2D)      (None, 1, 1, 12)     3468        block2c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_expand (Conv2D)      (None, 1, 1, 288)    3744        block2c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_se_excite (Multiply)    (None, 150, 150, 288 0           block2c_activation[0][0]         \n",
      "                                                                 block2c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_project_conv (Conv2D)   (None, 150, 150, 48) 13824       block2c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2c_project_bn (BatchNormal (None, 150, 150, 48) 192         block2c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2c_drop (Dropout)          (None, 150, 150, 48) 0           block2c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2c_add (Add)               (None, 150, 150, 48) 0           block2c_drop[0][0]               \n",
      "                                                                 block2b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2d_expand_conv (Conv2D)    (None, 150, 150, 288 13824       block2c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2d_expand_bn (BatchNormali (None, 150, 150, 288 1152        block2d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2d_expand_activation (Acti (None, 150, 150, 288 0           block2d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2d_dwconv (DepthwiseConv2D (None, 150, 150, 288 2592        block2d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2d_bn (BatchNormalization) (None, 150, 150, 288 1152        block2d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2d_activation (Activation) (None, 150, 150, 288 0           block2d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2d_se_squeeze (GlobalAvera (None, 288)          0           block2d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2d_se_reshape (Reshape)    (None, 1, 1, 288)    0           block2d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2d_se_reduce (Conv2D)      (None, 1, 1, 12)     3468        block2d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2d_se_expand (Conv2D)      (None, 1, 1, 288)    3744        block2d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2d_se_excite (Multiply)    (None, 150, 150, 288 0           block2d_activation[0][0]         \n",
      "                                                                 block2d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2d_project_conv (Conv2D)   (None, 150, 150, 48) 13824       block2d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2d_project_bn (BatchNormal (None, 150, 150, 48) 192         block2d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2d_drop (Dropout)          (None, 150, 150, 48) 0           block2d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2d_add (Add)               (None, 150, 150, 48) 0           block2d_drop[0][0]               \n",
      "                                                                 block2c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2e_expand_conv (Conv2D)    (None, 150, 150, 288 13824       block2d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2e_expand_bn (BatchNormali (None, 150, 150, 288 1152        block2e_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2e_expand_activation (Acti (None, 150, 150, 288 0           block2e_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2e_dwconv (DepthwiseConv2D (None, 150, 150, 288 2592        block2e_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2e_bn (BatchNormalization) (None, 150, 150, 288 1152        block2e_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2e_activation (Activation) (None, 150, 150, 288 0           block2e_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2e_se_squeeze (GlobalAvera (None, 288)          0           block2e_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2e_se_reshape (Reshape)    (None, 1, 1, 288)    0           block2e_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2e_se_reduce (Conv2D)      (None, 1, 1, 12)     3468        block2e_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2e_se_expand (Conv2D)      (None, 1, 1, 288)    3744        block2e_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2e_se_excite (Multiply)    (None, 150, 150, 288 0           block2e_activation[0][0]         \n",
      "                                                                 block2e_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2e_project_conv (Conv2D)   (None, 150, 150, 48) 13824       block2e_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2e_project_bn (BatchNormal (None, 150, 150, 48) 192         block2e_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2e_drop (Dropout)          (None, 150, 150, 48) 0           block2e_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2e_add (Add)               (None, 150, 150, 48) 0           block2e_drop[0][0]               \n",
      "                                                                 block2d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2f_expand_conv (Conv2D)    (None, 150, 150, 288 13824       block2e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2f_expand_bn (BatchNormali (None, 150, 150, 288 1152        block2f_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2f_expand_activation (Acti (None, 150, 150, 288 0           block2f_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2f_dwconv (DepthwiseConv2D (None, 150, 150, 288 2592        block2f_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2f_bn (BatchNormalization) (None, 150, 150, 288 1152        block2f_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2f_activation (Activation) (None, 150, 150, 288 0           block2f_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2f_se_squeeze (GlobalAvera (None, 288)          0           block2f_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2f_se_reshape (Reshape)    (None, 1, 1, 288)    0           block2f_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2f_se_reduce (Conv2D)      (None, 1, 1, 12)     3468        block2f_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2f_se_expand (Conv2D)      (None, 1, 1, 288)    3744        block2f_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2f_se_excite (Multiply)    (None, 150, 150, 288 0           block2f_activation[0][0]         \n",
      "                                                                 block2f_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2f_project_conv (Conv2D)   (None, 150, 150, 48) 13824       block2f_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2f_project_bn (BatchNormal (None, 150, 150, 48) 192         block2f_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2f_drop (Dropout)          (None, 150, 150, 48) 0           block2f_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2f_add (Add)               (None, 150, 150, 48) 0           block2f_drop[0][0]               \n",
      "                                                                 block2e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2g_expand_conv (Conv2D)    (None, 150, 150, 288 13824       block2f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block2g_expand_bn (BatchNormali (None, 150, 150, 288 1152        block2g_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block2g_expand_activation (Acti (None, 150, 150, 288 0           block2g_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2g_dwconv (DepthwiseConv2D (None, 150, 150, 288 2592        block2g_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block2g_bn (BatchNormalization) (None, 150, 150, 288 1152        block2g_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block2g_activation (Activation) (None, 150, 150, 288 0           block2g_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block2g_se_squeeze (GlobalAvera (None, 288)          0           block2g_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2g_se_reshape (Reshape)    (None, 1, 1, 288)    0           block2g_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2g_se_reduce (Conv2D)      (None, 1, 1, 12)     3468        block2g_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2g_se_expand (Conv2D)      (None, 1, 1, 288)    3744        block2g_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2g_se_excite (Multiply)    (None, 150, 150, 288 0           block2g_activation[0][0]         \n",
      "                                                                 block2g_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2g_project_conv (Conv2D)   (None, 150, 150, 48) 13824       block2g_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block2g_project_bn (BatchNormal (None, 150, 150, 48) 192         block2g_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block2g_drop (Dropout)          (None, 150, 150, 48) 0           block2g_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block2g_add (Add)               (None, 150, 150, 48) 0           block2g_drop[0][0]               \n",
      "                                                                 block2f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_conv (Conv2D)    (None, 150, 150, 288 13824       block2g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_bn (BatchNormali (None, 150, 150, 288 1152        block3a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3a_expand_activation (Acti (None, 150, 150, 288 0           block3a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_dwconv_pad (ZeroPadding (None, 153, 153, 288 0           block3a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3a_dwconv (DepthwiseConv2D (None, 75, 75, 288)  7200        block3a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_bn (BatchNormalization) (None, 75, 75, 288)  1152        block3a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3a_activation (Activation) (None, 75, 75, 288)  0           block3a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_squeeze (GlobalAvera (None, 288)          0           block3a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_reshape (Reshape)    (None, 1, 1, 288)    0           block3a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_reduce (Conv2D)      (None, 1, 1, 12)     3468        block3a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_expand (Conv2D)      (None, 1, 1, 288)    3744        block3a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_se_excite (Multiply)    (None, 75, 75, 288)  0           block3a_activation[0][0]         \n",
      "                                                                 block3a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_project_conv (Conv2D)   (None, 75, 75, 80)   23040       block3a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3a_project_bn (BatchNormal (None, 75, 75, 80)   320         block3a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_conv (Conv2D)    (None, 75, 75, 480)  38400       block3a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_bn (BatchNormali (None, 75, 75, 480)  1920        block3b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3b_expand_activation (Acti (None, 75, 75, 480)  0           block3b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_dwconv (DepthwiseConv2D (None, 75, 75, 480)  12000       block3b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3b_bn (BatchNormalization) (None, 75, 75, 480)  1920        block3b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3b_activation (Activation) (None, 75, 75, 480)  0           block3b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_squeeze (GlobalAvera (None, 480)          0           block3b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_reshape (Reshape)    (None, 1, 1, 480)    0           block3b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block3b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block3b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_se_excite (Multiply)    (None, 75, 75, 480)  0           block3b_activation[0][0]         \n",
      "                                                                 block3b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_project_conv (Conv2D)   (None, 75, 75, 80)   38400       block3b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3b_project_bn (BatchNormal (None, 75, 75, 80)   320         block3b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3b_drop (Dropout)          (None, 75, 75, 80)   0           block3b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3b_add (Add)               (None, 75, 75, 80)   0           block3b_drop[0][0]               \n",
      "                                                                 block3a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_expand_conv (Conv2D)    (None, 75, 75, 480)  38400       block3b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3c_expand_bn (BatchNormali (None, 75, 75, 480)  1920        block3c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3c_expand_activation (Acti (None, 75, 75, 480)  0           block3c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_dwconv (DepthwiseConv2D (None, 75, 75, 480)  12000       block3c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3c_bn (BatchNormalization) (None, 75, 75, 480)  1920        block3c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3c_activation (Activation) (None, 75, 75, 480)  0           block3c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_squeeze (GlobalAvera (None, 480)          0           block3c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_reshape (Reshape)    (None, 1, 1, 480)    0           block3c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block3c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block3c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_se_excite (Multiply)    (None, 75, 75, 480)  0           block3c_activation[0][0]         \n",
      "                                                                 block3c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_project_conv (Conv2D)   (None, 75, 75, 80)   38400       block3c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3c_project_bn (BatchNormal (None, 75, 75, 80)   320         block3c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3c_drop (Dropout)          (None, 75, 75, 80)   0           block3c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3c_add (Add)               (None, 75, 75, 80)   0           block3c_drop[0][0]               \n",
      "                                                                 block3b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3d_expand_conv (Conv2D)    (None, 75, 75, 480)  38400       block3c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3d_expand_bn (BatchNormali (None, 75, 75, 480)  1920        block3d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3d_expand_activation (Acti (None, 75, 75, 480)  0           block3d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3d_dwconv (DepthwiseConv2D (None, 75, 75, 480)  12000       block3d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3d_bn (BatchNormalization) (None, 75, 75, 480)  1920        block3d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3d_activation (Activation) (None, 75, 75, 480)  0           block3d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3d_se_squeeze (GlobalAvera (None, 480)          0           block3d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3d_se_reshape (Reshape)    (None, 1, 1, 480)    0           block3d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3d_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block3d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3d_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block3d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3d_se_excite (Multiply)    (None, 75, 75, 480)  0           block3d_activation[0][0]         \n",
      "                                                                 block3d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3d_project_conv (Conv2D)   (None, 75, 75, 80)   38400       block3d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3d_project_bn (BatchNormal (None, 75, 75, 80)   320         block3d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3d_drop (Dropout)          (None, 75, 75, 80)   0           block3d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3d_add (Add)               (None, 75, 75, 80)   0           block3d_drop[0][0]               \n",
      "                                                                 block3c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3e_expand_conv (Conv2D)    (None, 75, 75, 480)  38400       block3d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3e_expand_bn (BatchNormali (None, 75, 75, 480)  1920        block3e_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3e_expand_activation (Acti (None, 75, 75, 480)  0           block3e_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3e_dwconv (DepthwiseConv2D (None, 75, 75, 480)  12000       block3e_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3e_bn (BatchNormalization) (None, 75, 75, 480)  1920        block3e_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3e_activation (Activation) (None, 75, 75, 480)  0           block3e_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3e_se_squeeze (GlobalAvera (None, 480)          0           block3e_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3e_se_reshape (Reshape)    (None, 1, 1, 480)    0           block3e_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3e_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block3e_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3e_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block3e_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3e_se_excite (Multiply)    (None, 75, 75, 480)  0           block3e_activation[0][0]         \n",
      "                                                                 block3e_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3e_project_conv (Conv2D)   (None, 75, 75, 80)   38400       block3e_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3e_project_bn (BatchNormal (None, 75, 75, 80)   320         block3e_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3e_drop (Dropout)          (None, 75, 75, 80)   0           block3e_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3e_add (Add)               (None, 75, 75, 80)   0           block3e_drop[0][0]               \n",
      "                                                                 block3d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3f_expand_conv (Conv2D)    (None, 75, 75, 480)  38400       block3e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3f_expand_bn (BatchNormali (None, 75, 75, 480)  1920        block3f_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3f_expand_activation (Acti (None, 75, 75, 480)  0           block3f_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3f_dwconv (DepthwiseConv2D (None, 75, 75, 480)  12000       block3f_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3f_bn (BatchNormalization) (None, 75, 75, 480)  1920        block3f_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3f_activation (Activation) (None, 75, 75, 480)  0           block3f_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3f_se_squeeze (GlobalAvera (None, 480)          0           block3f_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3f_se_reshape (Reshape)    (None, 1, 1, 480)    0           block3f_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3f_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block3f_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3f_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block3f_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3f_se_excite (Multiply)    (None, 75, 75, 480)  0           block3f_activation[0][0]         \n",
      "                                                                 block3f_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3f_project_conv (Conv2D)   (None, 75, 75, 80)   38400       block3f_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3f_project_bn (BatchNormal (None, 75, 75, 80)   320         block3f_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3f_drop (Dropout)          (None, 75, 75, 80)   0           block3f_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3f_add (Add)               (None, 75, 75, 80)   0           block3f_drop[0][0]               \n",
      "                                                                 block3e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3g_expand_conv (Conv2D)    (None, 75, 75, 480)  38400       block3f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block3g_expand_bn (BatchNormali (None, 75, 75, 480)  1920        block3g_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block3g_expand_activation (Acti (None, 75, 75, 480)  0           block3g_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3g_dwconv (DepthwiseConv2D (None, 75, 75, 480)  12000       block3g_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block3g_bn (BatchNormalization) (None, 75, 75, 480)  1920        block3g_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block3g_activation (Activation) (None, 75, 75, 480)  0           block3g_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block3g_se_squeeze (GlobalAvera (None, 480)          0           block3g_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3g_se_reshape (Reshape)    (None, 1, 1, 480)    0           block3g_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3g_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block3g_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3g_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block3g_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3g_se_excite (Multiply)    (None, 75, 75, 480)  0           block3g_activation[0][0]         \n",
      "                                                                 block3g_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3g_project_conv (Conv2D)   (None, 75, 75, 80)   38400       block3g_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block3g_project_bn (BatchNormal (None, 75, 75, 80)   320         block3g_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block3g_drop (Dropout)          (None, 75, 75, 80)   0           block3g_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block3g_add (Add)               (None, 75, 75, 80)   0           block3g_drop[0][0]               \n",
      "                                                                 block3f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_conv (Conv2D)    (None, 75, 75, 480)  38400       block3g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_bn (BatchNormali (None, 75, 75, 480)  1920        block4a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4a_expand_activation (Acti (None, 75, 75, 480)  0           block4a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_dwconv_pad (ZeroPadding (None, 77, 77, 480)  0           block4a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4a_dwconv (DepthwiseConv2D (None, 38, 38, 480)  4320        block4a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_bn (BatchNormalization) (None, 38, 38, 480)  1920        block4a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4a_activation (Activation) (None, 38, 38, 480)  0           block4a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_squeeze (GlobalAvera (None, 480)          0           block4a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_reshape (Reshape)    (None, 1, 1, 480)    0           block4a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_reduce (Conv2D)      (None, 1, 1, 20)     9620        block4a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_expand (Conv2D)      (None, 1, 1, 480)    10080       block4a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_se_excite (Multiply)    (None, 38, 38, 480)  0           block4a_activation[0][0]         \n",
      "                                                                 block4a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_project_conv (Conv2D)   (None, 38, 38, 160)  76800       block4a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4a_project_bn (BatchNormal (None, 38, 38, 160)  640         block4a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4b_expand_activation (Acti (None, 38, 38, 960)  0           block4b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4b_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4b_activation (Activation) (None, 38, 38, 960)  0           block4b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_squeeze (GlobalAvera (None, 960)          0           block4b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_se_excite (Multiply)    (None, 38, 38, 960)  0           block4b_activation[0][0]         \n",
      "                                                                 block4b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4b_project_bn (BatchNormal (None, 38, 38, 160)  640         block4b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4b_drop (Dropout)          (None, 38, 38, 160)  0           block4b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4b_add (Add)               (None, 38, 38, 160)  0           block4b_drop[0][0]               \n",
      "                                                                 block4a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4c_expand_activation (Acti (None, 38, 38, 960)  0           block4c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4c_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4c_activation (Activation) (None, 38, 38, 960)  0           block4c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_squeeze (GlobalAvera (None, 960)          0           block4c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_se_excite (Multiply)    (None, 38, 38, 960)  0           block4c_activation[0][0]         \n",
      "                                                                 block4c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4c_project_bn (BatchNormal (None, 38, 38, 160)  640         block4c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4c_drop (Dropout)          (None, 38, 38, 160)  0           block4c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4c_add (Add)               (None, 38, 38, 160)  0           block4c_drop[0][0]               \n",
      "                                                                 block4b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4d_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4d_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4d_expand_activation (Acti (None, 38, 38, 960)  0           block4d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4d_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4d_activation (Activation) (None, 38, 38, 960)  0           block4d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_squeeze (GlobalAvera (None, 960)          0           block4d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_se_excite (Multiply)    (None, 38, 38, 960)  0           block4d_activation[0][0]         \n",
      "                                                                 block4d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4d_project_bn (BatchNormal (None, 38, 38, 160)  640         block4d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4d_drop (Dropout)          (None, 38, 38, 160)  0           block4d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4d_add (Add)               (None, 38, 38, 160)  0           block4d_drop[0][0]               \n",
      "                                                                 block4c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4e_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4e_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4e_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4e_expand_activation (Acti (None, 38, 38, 960)  0           block4e_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4e_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4e_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4e_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4e_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4e_activation (Activation) (None, 38, 38, 960)  0           block4e_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4e_se_squeeze (GlobalAvera (None, 960)          0           block4e_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4e_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4e_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4e_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4e_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4e_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4e_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4e_se_excite (Multiply)    (None, 38, 38, 960)  0           block4e_activation[0][0]         \n",
      "                                                                 block4e_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4e_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4e_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4e_project_bn (BatchNormal (None, 38, 38, 160)  640         block4e_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4e_drop (Dropout)          (None, 38, 38, 160)  0           block4e_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4e_add (Add)               (None, 38, 38, 160)  0           block4e_drop[0][0]               \n",
      "                                                                 block4d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4f_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4f_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4f_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4f_expand_activation (Acti (None, 38, 38, 960)  0           block4f_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4f_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4f_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4f_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4f_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4f_activation (Activation) (None, 38, 38, 960)  0           block4f_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4f_se_squeeze (GlobalAvera (None, 960)          0           block4f_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4f_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4f_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4f_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4f_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4f_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4f_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4f_se_excite (Multiply)    (None, 38, 38, 960)  0           block4f_activation[0][0]         \n",
      "                                                                 block4f_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4f_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4f_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4f_project_bn (BatchNormal (None, 38, 38, 160)  640         block4f_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4f_drop (Dropout)          (None, 38, 38, 160)  0           block4f_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4f_add (Add)               (None, 38, 38, 160)  0           block4f_drop[0][0]               \n",
      "                                                                 block4e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4g_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4g_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4g_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4g_expand_activation (Acti (None, 38, 38, 960)  0           block4g_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4g_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4g_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4g_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4g_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4g_activation (Activation) (None, 38, 38, 960)  0           block4g_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4g_se_squeeze (GlobalAvera (None, 960)          0           block4g_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4g_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4g_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4g_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4g_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4g_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4g_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4g_se_excite (Multiply)    (None, 38, 38, 960)  0           block4g_activation[0][0]         \n",
      "                                                                 block4g_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4g_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4g_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4g_project_bn (BatchNormal (None, 38, 38, 160)  640         block4g_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4g_drop (Dropout)          (None, 38, 38, 160)  0           block4g_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4g_add (Add)               (None, 38, 38, 160)  0           block4g_drop[0][0]               \n",
      "                                                                 block4f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4h_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4h_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4h_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4h_expand_activation (Acti (None, 38, 38, 960)  0           block4h_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4h_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4h_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4h_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4h_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4h_activation (Activation) (None, 38, 38, 960)  0           block4h_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4h_se_squeeze (GlobalAvera (None, 960)          0           block4h_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4h_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4h_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4h_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4h_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4h_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4h_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4h_se_excite (Multiply)    (None, 38, 38, 960)  0           block4h_activation[0][0]         \n",
      "                                                                 block4h_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4h_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4h_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4h_project_bn (BatchNormal (None, 38, 38, 160)  640         block4h_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4h_drop (Dropout)          (None, 38, 38, 160)  0           block4h_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4h_add (Add)               (None, 38, 38, 160)  0           block4h_drop[0][0]               \n",
      "                                                                 block4g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4i_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4h_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4i_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4i_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4i_expand_activation (Acti (None, 38, 38, 960)  0           block4i_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4i_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4i_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4i_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4i_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4i_activation (Activation) (None, 38, 38, 960)  0           block4i_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4i_se_squeeze (GlobalAvera (None, 960)          0           block4i_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4i_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4i_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4i_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4i_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4i_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4i_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4i_se_excite (Multiply)    (None, 38, 38, 960)  0           block4i_activation[0][0]         \n",
      "                                                                 block4i_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4i_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4i_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4i_project_bn (BatchNormal (None, 38, 38, 160)  640         block4i_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4i_drop (Dropout)          (None, 38, 38, 160)  0           block4i_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4i_add (Add)               (None, 38, 38, 160)  0           block4i_drop[0][0]               \n",
      "                                                                 block4h_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4j_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4i_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block4j_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block4j_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block4j_expand_activation (Acti (None, 38, 38, 960)  0           block4j_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4j_dwconv (DepthwiseConv2D (None, 38, 38, 960)  8640        block4j_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block4j_bn (BatchNormalization) (None, 38, 38, 960)  3840        block4j_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block4j_activation (Activation) (None, 38, 38, 960)  0           block4j_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block4j_se_squeeze (GlobalAvera (None, 960)          0           block4j_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4j_se_reshape (Reshape)    (None, 1, 1, 960)    0           block4j_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4j_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block4j_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4j_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block4j_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4j_se_excite (Multiply)    (None, 38, 38, 960)  0           block4j_activation[0][0]         \n",
      "                                                                 block4j_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4j_project_conv (Conv2D)   (None, 38, 38, 160)  153600      block4j_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block4j_project_bn (BatchNormal (None, 38, 38, 160)  640         block4j_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block4j_drop (Dropout)          (None, 38, 38, 160)  0           block4j_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block4j_add (Add)               (None, 38, 38, 160)  0           block4j_drop[0][0]               \n",
      "                                                                 block4i_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_conv (Conv2D)    (None, 38, 38, 960)  153600      block4j_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_bn (BatchNormali (None, 38, 38, 960)  3840        block5a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5a_expand_activation (Acti (None, 38, 38, 960)  0           block5a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_dwconv (DepthwiseConv2D (None, 38, 38, 960)  24000       block5a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5a_bn (BatchNormalization) (None, 38, 38, 960)  3840        block5a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5a_activation (Activation) (None, 38, 38, 960)  0           block5a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_squeeze (GlobalAvera (None, 960)          0           block5a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_reshape (Reshape)    (None, 1, 1, 960)    0           block5a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_reduce (Conv2D)      (None, 1, 1, 40)     38440       block5a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_expand (Conv2D)      (None, 1, 1, 960)    39360       block5a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_se_excite (Multiply)    (None, 38, 38, 960)  0           block5a_activation[0][0]         \n",
      "                                                                 block5a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_project_conv (Conv2D)   (None, 38, 38, 224)  215040      block5a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5a_project_bn (BatchNormal (None, 38, 38, 224)  896         block5a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5b_expand_activation (Acti (None, 38, 38, 1344) 0           block5b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5b_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5b_activation (Activation) (None, 38, 38, 1344) 0           block5b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_squeeze (GlobalAvera (None, 1344)         0           block5b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5b_activation[0][0]         \n",
      "                                                                 block5b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5b_project_bn (BatchNormal (None, 38, 38, 224)  896         block5b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5b_drop (Dropout)          (None, 38, 38, 224)  0           block5b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5b_add (Add)               (None, 38, 38, 224)  0           block5b_drop[0][0]               \n",
      "                                                                 block5a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5c_expand_activation (Acti (None, 38, 38, 1344) 0           block5c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5c_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5c_activation (Activation) (None, 38, 38, 1344) 0           block5c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_squeeze (GlobalAvera (None, 1344)         0           block5c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5c_activation[0][0]         \n",
      "                                                                 block5c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5c_project_bn (BatchNormal (None, 38, 38, 224)  896         block5c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5c_drop (Dropout)          (None, 38, 38, 224)  0           block5c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5c_add (Add)               (None, 38, 38, 224)  0           block5c_drop[0][0]               \n",
      "                                                                 block5b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5d_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5d_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5d_expand_activation (Acti (None, 38, 38, 1344) 0           block5d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5d_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5d_activation (Activation) (None, 38, 38, 1344) 0           block5d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_squeeze (GlobalAvera (None, 1344)         0           block5d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5d_activation[0][0]         \n",
      "                                                                 block5d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5d_project_bn (BatchNormal (None, 38, 38, 224)  896         block5d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5d_drop (Dropout)          (None, 38, 38, 224)  0           block5d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5d_add (Add)               (None, 38, 38, 224)  0           block5d_drop[0][0]               \n",
      "                                                                 block5c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5e_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5e_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5e_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5e_expand_activation (Acti (None, 38, 38, 1344) 0           block5e_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5e_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5e_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5e_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5e_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5e_activation (Activation) (None, 38, 38, 1344) 0           block5e_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5e_se_squeeze (GlobalAvera (None, 1344)         0           block5e_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5e_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5e_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5e_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5e_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5e_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5e_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5e_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5e_activation[0][0]         \n",
      "                                                                 block5e_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5e_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5e_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5e_project_bn (BatchNormal (None, 38, 38, 224)  896         block5e_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5e_drop (Dropout)          (None, 38, 38, 224)  0           block5e_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5e_add (Add)               (None, 38, 38, 224)  0           block5e_drop[0][0]               \n",
      "                                                                 block5d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5f_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5f_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5f_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5f_expand_activation (Acti (None, 38, 38, 1344) 0           block5f_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5f_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5f_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5f_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5f_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5f_activation (Activation) (None, 38, 38, 1344) 0           block5f_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5f_se_squeeze (GlobalAvera (None, 1344)         0           block5f_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5f_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5f_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5f_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5f_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5f_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5f_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5f_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5f_activation[0][0]         \n",
      "                                                                 block5f_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5f_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5f_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5f_project_bn (BatchNormal (None, 38, 38, 224)  896         block5f_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5f_drop (Dropout)          (None, 38, 38, 224)  0           block5f_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5f_add (Add)               (None, 38, 38, 224)  0           block5f_drop[0][0]               \n",
      "                                                                 block5e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5g_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5g_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5g_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5g_expand_activation (Acti (None, 38, 38, 1344) 0           block5g_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5g_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5g_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5g_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5g_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5g_activation (Activation) (None, 38, 38, 1344) 0           block5g_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5g_se_squeeze (GlobalAvera (None, 1344)         0           block5g_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5g_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5g_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5g_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5g_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5g_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5g_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5g_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5g_activation[0][0]         \n",
      "                                                                 block5g_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5g_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5g_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5g_project_bn (BatchNormal (None, 38, 38, 224)  896         block5g_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5g_drop (Dropout)          (None, 38, 38, 224)  0           block5g_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5g_add (Add)               (None, 38, 38, 224)  0           block5g_drop[0][0]               \n",
      "                                                                 block5f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5h_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5h_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5h_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5h_expand_activation (Acti (None, 38, 38, 1344) 0           block5h_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5h_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5h_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5h_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5h_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5h_activation (Activation) (None, 38, 38, 1344) 0           block5h_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5h_se_squeeze (GlobalAvera (None, 1344)         0           block5h_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5h_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5h_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5h_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5h_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5h_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5h_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5h_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5h_activation[0][0]         \n",
      "                                                                 block5h_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5h_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5h_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5h_project_bn (BatchNormal (None, 38, 38, 224)  896         block5h_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5h_drop (Dropout)          (None, 38, 38, 224)  0           block5h_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5h_add (Add)               (None, 38, 38, 224)  0           block5h_drop[0][0]               \n",
      "                                                                 block5g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5i_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5h_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5i_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5i_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5i_expand_activation (Acti (None, 38, 38, 1344) 0           block5i_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5i_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5i_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5i_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5i_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5i_activation (Activation) (None, 38, 38, 1344) 0           block5i_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5i_se_squeeze (GlobalAvera (None, 1344)         0           block5i_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5i_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5i_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5i_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5i_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5i_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5i_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5i_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5i_activation[0][0]         \n",
      "                                                                 block5i_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5i_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5i_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5i_project_bn (BatchNormal (None, 38, 38, 224)  896         block5i_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5i_drop (Dropout)          (None, 38, 38, 224)  0           block5i_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5i_add (Add)               (None, 38, 38, 224)  0           block5i_drop[0][0]               \n",
      "                                                                 block5h_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5j_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5i_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block5j_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block5j_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block5j_expand_activation (Acti (None, 38, 38, 1344) 0           block5j_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5j_dwconv (DepthwiseConv2D (None, 38, 38, 1344) 33600       block5j_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block5j_bn (BatchNormalization) (None, 38, 38, 1344) 5376        block5j_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block5j_activation (Activation) (None, 38, 38, 1344) 0           block5j_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block5j_se_squeeze (GlobalAvera (None, 1344)         0           block5j_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5j_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block5j_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5j_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block5j_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5j_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block5j_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5j_se_excite (Multiply)    (None, 38, 38, 1344) 0           block5j_activation[0][0]         \n",
      "                                                                 block5j_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5j_project_conv (Conv2D)   (None, 38, 38, 224)  301056      block5j_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block5j_project_bn (BatchNormal (None, 38, 38, 224)  896         block5j_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block5j_drop (Dropout)          (None, 38, 38, 224)  0           block5j_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block5j_add (Add)               (None, 38, 38, 224)  0           block5j_drop[0][0]               \n",
      "                                                                 block5i_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_conv (Conv2D)    (None, 38, 38, 1344) 301056      block5j_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_bn (BatchNormali (None, 38, 38, 1344) 5376        block6a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6a_expand_activation (Acti (None, 38, 38, 1344) 0           block6a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_dwconv_pad (ZeroPadding (None, 41, 41, 1344) 0           block6a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6a_dwconv (DepthwiseConv2D (None, 19, 19, 1344) 33600       block6a_dwconv_pad[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_bn (BatchNormalization) (None, 19, 19, 1344) 5376        block6a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6a_activation (Activation) (None, 19, 19, 1344) 0           block6a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_squeeze (GlobalAvera (None, 1344)         0           block6a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_reshape (Reshape)    (None, 1, 1, 1344)   0           block6a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_reduce (Conv2D)      (None, 1, 1, 56)     75320       block6a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_expand (Conv2D)      (None, 1, 1, 1344)   76608       block6a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_se_excite (Multiply)    (None, 19, 19, 1344) 0           block6a_activation[0][0]         \n",
      "                                                                 block6a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_project_conv (Conv2D)   (None, 19, 19, 384)  516096      block6a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6a_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6b_expand_activation (Acti (None, 19, 19, 2304) 0           block6b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6b_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6b_activation (Activation) (None, 19, 19, 2304) 0           block6b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_squeeze (GlobalAvera (None, 2304)         0           block6b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6b_activation[0][0]         \n",
      "                                                                 block6b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6b_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6b_drop (Dropout)          (None, 19, 19, 384)  0           block6b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6b_add (Add)               (None, 19, 19, 384)  0           block6b_drop[0][0]               \n",
      "                                                                 block6a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6c_expand_activation (Acti (None, 19, 19, 2304) 0           block6c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6c_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6c_activation (Activation) (None, 19, 19, 2304) 0           block6c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_squeeze (GlobalAvera (None, 2304)         0           block6c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6c_activation[0][0]         \n",
      "                                                                 block6c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6c_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6c_drop (Dropout)          (None, 19, 19, 384)  0           block6c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6c_add (Add)               (None, 19, 19, 384)  0           block6c_drop[0][0]               \n",
      "                                                                 block6b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6d_expand_activation (Acti (None, 19, 19, 2304) 0           block6d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6d_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6d_activation (Activation) (None, 19, 19, 2304) 0           block6d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_squeeze (GlobalAvera (None, 2304)         0           block6d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6d_activation[0][0]         \n",
      "                                                                 block6d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6d_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6d_drop (Dropout)          (None, 19, 19, 384)  0           block6d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6d_add (Add)               (None, 19, 19, 384)  0           block6d_drop[0][0]               \n",
      "                                                                 block6c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6e_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6e_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6e_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6e_expand_activation (Acti (None, 19, 19, 2304) 0           block6e_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6e_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6e_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6e_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6e_activation (Activation) (None, 19, 19, 2304) 0           block6e_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_squeeze (GlobalAvera (None, 2304)         0           block6e_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6e_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6e_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6e_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6e_activation[0][0]         \n",
      "                                                                 block6e_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6e_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6e_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6e_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6e_drop (Dropout)          (None, 19, 19, 384)  0           block6e_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6e_add (Add)               (None, 19, 19, 384)  0           block6e_drop[0][0]               \n",
      "                                                                 block6d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6f_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6f_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6f_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6f_expand_activation (Acti (None, 19, 19, 2304) 0           block6f_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6f_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6f_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6f_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6f_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6f_activation (Activation) (None, 19, 19, 2304) 0           block6f_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6f_se_squeeze (GlobalAvera (None, 2304)         0           block6f_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6f_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6f_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6f_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6f_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6f_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6f_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6f_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6f_activation[0][0]         \n",
      "                                                                 block6f_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6f_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6f_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6f_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6f_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6f_drop (Dropout)          (None, 19, 19, 384)  0           block6f_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6f_add (Add)               (None, 19, 19, 384)  0           block6f_drop[0][0]               \n",
      "                                                                 block6e_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6g_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6g_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6g_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6g_expand_activation (Acti (None, 19, 19, 2304) 0           block6g_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6g_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6g_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6g_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6g_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6g_activation (Activation) (None, 19, 19, 2304) 0           block6g_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6g_se_squeeze (GlobalAvera (None, 2304)         0           block6g_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6g_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6g_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6g_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6g_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6g_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6g_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6g_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6g_activation[0][0]         \n",
      "                                                                 block6g_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6g_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6g_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6g_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6g_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6g_drop (Dropout)          (None, 19, 19, 384)  0           block6g_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6g_add (Add)               (None, 19, 19, 384)  0           block6g_drop[0][0]               \n",
      "                                                                 block6f_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6h_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6h_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6h_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6h_expand_activation (Acti (None, 19, 19, 2304) 0           block6h_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6h_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6h_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6h_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6h_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6h_activation (Activation) (None, 19, 19, 2304) 0           block6h_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6h_se_squeeze (GlobalAvera (None, 2304)         0           block6h_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6h_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6h_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6h_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6h_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6h_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6h_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6h_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6h_activation[0][0]         \n",
      "                                                                 block6h_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6h_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6h_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6h_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6h_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6h_drop (Dropout)          (None, 19, 19, 384)  0           block6h_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6h_add (Add)               (None, 19, 19, 384)  0           block6h_drop[0][0]               \n",
      "                                                                 block6g_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6i_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6h_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6i_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6i_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6i_expand_activation (Acti (None, 19, 19, 2304) 0           block6i_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6i_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6i_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6i_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6i_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6i_activation (Activation) (None, 19, 19, 2304) 0           block6i_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6i_se_squeeze (GlobalAvera (None, 2304)         0           block6i_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6i_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6i_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6i_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6i_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6i_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6i_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6i_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6i_activation[0][0]         \n",
      "                                                                 block6i_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6i_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6i_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6i_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6i_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6i_drop (Dropout)          (None, 19, 19, 384)  0           block6i_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6i_add (Add)               (None, 19, 19, 384)  0           block6i_drop[0][0]               \n",
      "                                                                 block6h_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6j_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6i_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6j_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6j_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6j_expand_activation (Acti (None, 19, 19, 2304) 0           block6j_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6j_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6j_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6j_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6j_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6j_activation (Activation) (None, 19, 19, 2304) 0           block6j_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6j_se_squeeze (GlobalAvera (None, 2304)         0           block6j_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6j_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6j_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6j_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6j_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6j_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6j_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6j_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6j_activation[0][0]         \n",
      "                                                                 block6j_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6j_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6j_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6j_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6j_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6j_drop (Dropout)          (None, 19, 19, 384)  0           block6j_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6j_add (Add)               (None, 19, 19, 384)  0           block6j_drop[0][0]               \n",
      "                                                                 block6i_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6k_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6j_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6k_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6k_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6k_expand_activation (Acti (None, 19, 19, 2304) 0           block6k_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6k_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6k_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6k_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6k_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6k_activation (Activation) (None, 19, 19, 2304) 0           block6k_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6k_se_squeeze (GlobalAvera (None, 2304)         0           block6k_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6k_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6k_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6k_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6k_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6k_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6k_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6k_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6k_activation[0][0]         \n",
      "                                                                 block6k_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6k_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6k_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6k_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6k_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6k_drop (Dropout)          (None, 19, 19, 384)  0           block6k_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6k_add (Add)               (None, 19, 19, 384)  0           block6k_drop[0][0]               \n",
      "                                                                 block6j_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6l_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6k_add[0][0]                \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "block6l_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6l_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6l_expand_activation (Acti (None, 19, 19, 2304) 0           block6l_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6l_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6l_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6l_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6l_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6l_activation (Activation) (None, 19, 19, 2304) 0           block6l_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6l_se_squeeze (GlobalAvera (None, 2304)         0           block6l_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6l_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6l_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6l_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6l_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6l_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6l_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6l_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6l_activation[0][0]         \n",
      "                                                                 block6l_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6l_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6l_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6l_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6l_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6l_drop (Dropout)          (None, 19, 19, 384)  0           block6l_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6l_add (Add)               (None, 19, 19, 384)  0           block6l_drop[0][0]               \n",
      "                                                                 block6k_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6m_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6l_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block6m_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block6m_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block6m_expand_activation (Acti (None, 19, 19, 2304) 0           block6m_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6m_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 57600       block6m_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block6m_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block6m_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block6m_activation (Activation) (None, 19, 19, 2304) 0           block6m_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block6m_se_squeeze (GlobalAvera (None, 2304)         0           block6m_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6m_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block6m_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6m_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block6m_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6m_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block6m_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6m_se_excite (Multiply)    (None, 19, 19, 2304) 0           block6m_activation[0][0]         \n",
      "                                                                 block6m_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6m_project_conv (Conv2D)   (None, 19, 19, 384)  884736      block6m_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block6m_project_bn (BatchNormal (None, 19, 19, 384)  1536        block6m_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block6m_drop (Dropout)          (None, 19, 19, 384)  0           block6m_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block6m_add (Add)               (None, 19, 19, 384)  0           block6m_drop[0][0]               \n",
      "                                                                 block6l_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_conv (Conv2D)    (None, 19, 19, 2304) 884736      block6m_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_bn (BatchNormali (None, 19, 19, 2304) 9216        block7a_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7a_expand_activation (Acti (None, 19, 19, 2304) 0           block7a_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_dwconv (DepthwiseConv2D (None, 19, 19, 2304) 20736       block7a_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block7a_bn (BatchNormalization) (None, 19, 19, 2304) 9216        block7a_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block7a_activation (Activation) (None, 19, 19, 2304) 0           block7a_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_squeeze (GlobalAvera (None, 2304)         0           block7a_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_reshape (Reshape)    (None, 1, 1, 2304)   0           block7a_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_reduce (Conv2D)      (None, 1, 1, 96)     221280      block7a_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_expand (Conv2D)      (None, 1, 1, 2304)   223488      block7a_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_se_excite (Multiply)    (None, 19, 19, 2304) 0           block7a_activation[0][0]         \n",
      "                                                                 block7a_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_project_conv (Conv2D)   (None, 19, 19, 640)  1474560     block7a_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7a_project_bn (BatchNormal (None, 19, 19, 640)  2560        block7a_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7b_expand_conv (Conv2D)    (None, 19, 19, 3840) 2457600     block7a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_expand_bn (BatchNormali (None, 19, 19, 3840) 15360       block7b_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7b_expand_activation (Acti (None, 19, 19, 3840) 0           block7b_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_dwconv (DepthwiseConv2D (None, 19, 19, 3840) 34560       block7b_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block7b_bn (BatchNormalization) (None, 19, 19, 3840) 15360       block7b_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block7b_activation (Activation) (None, 19, 19, 3840) 0           block7b_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_squeeze (GlobalAvera (None, 3840)         0           block7b_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_reshape (Reshape)    (None, 1, 1, 3840)   0           block7b_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_reduce (Conv2D)      (None, 1, 1, 160)    614560      block7b_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_expand (Conv2D)      (None, 1, 1, 3840)   618240      block7b_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_se_excite (Multiply)    (None, 19, 19, 3840) 0           block7b_activation[0][0]         \n",
      "                                                                 block7b_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_project_conv (Conv2D)   (None, 19, 19, 640)  2457600     block7b_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7b_project_bn (BatchNormal (None, 19, 19, 640)  2560        block7b_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7b_drop (Dropout)          (None, 19, 19, 640)  0           block7b_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7b_add (Add)               (None, 19, 19, 640)  0           block7b_drop[0][0]               \n",
      "                                                                 block7a_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7c_expand_conv (Conv2D)    (None, 19, 19, 3840) 2457600     block7b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7c_expand_bn (BatchNormali (None, 19, 19, 3840) 15360       block7c_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7c_expand_activation (Acti (None, 19, 19, 3840) 0           block7c_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7c_dwconv (DepthwiseConv2D (None, 19, 19, 3840) 34560       block7c_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block7c_bn (BatchNormalization) (None, 19, 19, 3840) 15360       block7c_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block7c_activation (Activation) (None, 19, 19, 3840) 0           block7c_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block7c_se_squeeze (GlobalAvera (None, 3840)         0           block7c_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7c_se_reshape (Reshape)    (None, 1, 1, 3840)   0           block7c_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7c_se_reduce (Conv2D)      (None, 1, 1, 160)    614560      block7c_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7c_se_expand (Conv2D)      (None, 1, 1, 3840)   618240      block7c_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7c_se_excite (Multiply)    (None, 19, 19, 3840) 0           block7c_activation[0][0]         \n",
      "                                                                 block7c_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7c_project_conv (Conv2D)   (None, 19, 19, 640)  2457600     block7c_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7c_project_bn (BatchNormal (None, 19, 19, 640)  2560        block7c_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7c_drop (Dropout)          (None, 19, 19, 640)  0           block7c_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7c_add (Add)               (None, 19, 19, 640)  0           block7c_drop[0][0]               \n",
      "                                                                 block7b_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7d_expand_conv (Conv2D)    (None, 19, 19, 3840) 2457600     block7c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "block7d_expand_bn (BatchNormali (None, 19, 19, 3840) 15360       block7d_expand_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "block7d_expand_activation (Acti (None, 19, 19, 3840) 0           block7d_expand_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7d_dwconv (DepthwiseConv2D (None, 19, 19, 3840) 34560       block7d_expand_activation[0][0]  \n",
      "__________________________________________________________________________________________________\n",
      "block7d_bn (BatchNormalization) (None, 19, 19, 3840) 15360       block7d_dwconv[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "block7d_activation (Activation) (None, 19, 19, 3840) 0           block7d_bn[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "block7d_se_squeeze (GlobalAvera (None, 3840)         0           block7d_activation[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7d_se_reshape (Reshape)    (None, 1, 1, 3840)   0           block7d_se_squeeze[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7d_se_reduce (Conv2D)      (None, 1, 1, 160)    614560      block7d_se_reshape[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7d_se_expand (Conv2D)      (None, 1, 1, 3840)   618240      block7d_se_reduce[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7d_se_excite (Multiply)    (None, 19, 19, 3840) 0           block7d_activation[0][0]         \n",
      "                                                                 block7d_se_expand[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7d_project_conv (Conv2D)   (None, 19, 19, 640)  2457600     block7d_se_excite[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "block7d_project_bn (BatchNormal (None, 19, 19, 640)  2560        block7d_project_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "block7d_drop (Dropout)          (None, 19, 19, 640)  0           block7d_project_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "block7d_add (Add)               (None, 19, 19, 640)  0           block7d_drop[0][0]               \n",
      "                                                                 block7c_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "top_conv (Conv2D)               (None, 19, 19, 2560) 1638400     block7d_add[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "top_bn (BatchNormalization)     (None, 19, 19, 2560) 10240       top_conv[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "top_activation (Activation)     (None, 19, 19, 2560) 0           top_bn[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "avg_pool (GlobalAveragePooling2 (None, 2560)         0           top_activation[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "top_dropout (Dropout)           (None, 2560)         0           avg_pool[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "predictions (Dense)             (None, 1000)         2561000     top_dropout[0][0]                \n",
      "==================================================================================================\n",
      "Total params: 66,658,687\n",
      "Trainable params: 66,347,960\n",
      "Non-trainable params: 310,727\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "modelb7.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input image shape: (1, 600, 600, 3)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1f071f54248>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "from matplotlib.pyplot import imread\n",
    "from matplotlib.pyplot import imshow\n",
    "from tensorflow.keras.preprocessing import image\n",
    "from tensorflow.keras.applications.imagenet_utils import decode_predictions\n",
    "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n",
    "\n",
    "\n",
    "img_path = 'unseen_imagenet.jfif'\n",
    "\n",
    "img = cv2.imread(img_path)\n",
    "img = cv2.resize(img, (600, 600))\n",
    "\n",
    "x = np.expand_dims(img, axis=0)\n",
    "x = preprocess_input(x)\n",
    "\n",
    "print('Input image shape:', x.shape)\n",
    "\n",
    "my_image = imread(img_path)\n",
    "imshow(my_image)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:5 out of the last 9 calls to <function Model.make_predict_function.<locals>.predict_function at 0x000001F06DEF5438> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for  more details.\n",
      "predicted class:  [[5.96555692e-05 7.78785034e-05 1.04723447e-04 8.94399200e-05\n",
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      "  6.89218796e-05 2.34564563e-04 2.12842511e-04 4.97347355e-05\n",
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      "  1.07949061e-04 1.28858490e-04 1.44053658e-04 1.64252022e-04\n",
      "  1.08633241e-04 4.57293972e-05 9.99160911e-05 6.69176807e-05\n",
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      "  9.20182283e-05 1.73389941e-04 1.54044654e-04 1.12906091e-04\n",
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      "  6.59930380e-03 7.48119364e-03 1.02679005e-04 5.75848499e-05\n",
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      "  1.03763909e-04 5.11190410e-05 2.97426945e-04 3.31669253e-05\n",
      "  7.59722898e-05 5.89957672e-05 6.04837493e-04 1.15640811e-04\n",
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      "  2.04353928e-04 6.69295550e-05 7.01415629e-05 1.23851220e-04\n",
      "  9.96656017e-05 1.95217872e-04 8.02378345e-05 1.68112034e-04\n",
      "  6.31364092e-05 2.91003762e-05 2.07494857e-04 8.83479370e-05\n",
      "  4.81555326e-05 7.00499877e-05 1.02574282e-04 1.68850966e-04\n",
      "  1.23511403e-04 1.11129571e-04 1.93917891e-04 7.22888508e-05\n",
      "  1.95990899e-04 3.70295602e-04 1.88810765e-04 9.93482608e-05\n",
      "  1.78205664e-04 1.13036673e-04 1.46326784e-04 1.10483277e-04\n",
      "  1.14794741e-04 1.44446283e-04 1.22879777e-04 1.87504236e-04\n",
      "  1.31081964e-04 1.03808939e-04 8.39367785e-05 4.78535221e-05\n",
      "  1.18117583e-04 1.21688878e-04 8.83916800e-05 1.53202549e-04\n",
      "  5.20821086e-05 1.67102946e-04 1.56626382e-04 5.74621299e-05\n",
      "  8.60198488e-05 6.25418179e-05 6.64666150e-05 6.99259690e-05\n",
      "  3.73880066e-05 6.64562831e-05 1.15917181e-04 1.55202375e-04\n",
      "  7.02218822e-05 1.10069544e-04 7.20800526e-05 2.60421220e-04\n",
      "  3.70402377e-05 3.63817526e-05 1.32068715e-04 6.41169099e-05\n",
      "  8.40703287e-05 1.38090007e-04 1.13493916e-04 6.44640604e-05\n",
      "  1.16886295e-04 1.10266548e-04 1.33265727e-04 7.97447981e-04]]\n"
     ]
    }
   ],
   "source": [
    "predb7=modelb7.predict(x)\n",
    "print(\"predicted class: \", predb7 )    # probabilities for being in each of the 1000 classes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[('n02124075', 'Egyptian_cat', 0.7415213),\n",
       "  ('n02123597', 'Siamese_cat', 0.033144224),\n",
       "  ('n02123159', 'tiger_cat', 0.02283567)]]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decode_predictions(predb7,top=3)  #  # probabilities for being in top of the 3 classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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