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SavedModel.yaml
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SavedModel.yaml
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backend: tensorflow
class_name: Sequential
config:
- class_name: Conv1D
config:
activation: elu
activity_regularizer: null
batch_input_shape: !!python/tuple [null, 997, 4]
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: !!python/tuple [1]
dtype: float32
filters: 16
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
kernel_regularizer:
class_name: L1L2
config: {l1: 0.0, l2: 0.0}
kernel_size: !!python/tuple [30]
name: conv1d_1
padding: valid
strides: !!python/tuple [1]
trainable: true
use_bias: true
- class_name: MCRCDropout
config: {name: mcrc_dropout_1, noise_shape: null, rate: 0.1, seed: null, trainable: true}
- class_name: MaxPooling1D
config:
name: max_pooling1d_1
padding: valid
pool_size: !!python/tuple [8]
strides: !!python/tuple [8]
trainable: true
- class_name: Conv1D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: !!python/tuple [1]
filters: 16
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
kernel_regularizer:
class_name: L1L2
config: {l1: 0.0, l2: 0.0}
kernel_size: !!python/tuple [4]
name: conv1d_2
padding: valid
strides: !!python/tuple [1]
trainable: true
use_bias: true
- class_name: MCRCDropout
config: {name: mcrc_dropout_2, noise_shape: null, rate: 0.1, seed: null, trainable: true}
- class_name: CustomSumPool
config: {name: custom_sum_pool_1, trainable: true}
- class_name: GlobalMaxPooling1D
config: {name: global_max_pooling1d_1, trainable: true}
- class_name: Dense
config:
activation: softmax
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Constant
config:
value: !!python/object/apply:numpy.core.multiarray._reconstruct
args:
- &id001 !!python/name:numpy.ndarray ''
- !!python/tuple [0]
- !!binary |
Yg==
state: !!python/tuple
- 1
- !!python/tuple [2]
- &id002 !!python/object/apply:numpy.dtype
args: [i8, 0, 1]
state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
- false
- !!binary |
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bias_regularizer: null
kernel_constraint: null
kernel_initializer:
class_name: Constant
config:
value: !!python/object/apply:numpy.core.multiarray._reconstruct
args:
- *id001
- !!python/tuple [0]
- !!binary |
Yg==
state: !!python/tuple
- 1
- !!python/tuple [2, 8]
- *id002
- false
- !!binary |
AQAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAB
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kernel_regularizer: null
name: dense_1
trainable: true
units: 2
use_bias: true
keras_version: 2.2.2