From 2a3ac1423a0e0544fcf9b2241c13cfbdba24d0e6 Mon Sep 17 00:00:00 2001
From: MewX <imewx@qq.com>
Date: Thu, 27 Jul 2017 02:13:37 +0930
Subject: [PATCH] Added tensor flow, wip

---
 MachineLearning/TensorFlow/test.py         | 47 ++++++++++++++++++++++
 MachineLearning/TensorFlow/two_buoy_cnn.py |  2 +
 2 files changed, 49 insertions(+)
 create mode 100644 MachineLearning/TensorFlow/test.py
 create mode 100644 MachineLearning/TensorFlow/two_buoy_cnn.py

diff --git a/MachineLearning/TensorFlow/test.py b/MachineLearning/TensorFlow/test.py
new file mode 100644
index 0000000..f9dc618
--- /dev/null
+++ b/MachineLearning/TensorFlow/test.py
@@ -0,0 +1,47 @@
+import tensorflow as tf
+from tensorflow.examples.tutorials import mnist
+
+X = tf.placeholder(tf.float32, [None, 28, 28, 1])
+W = tf.Variable(tf.zeros([784, 10]))
+b = tf.Variable(tf.zeros([10]))
+
+init = tf.initialize_all_variables()
+
+# model
+Y = tf.nn.softmax(tf.matmul(tf.reshape(X, [-1, 784]), W) + b)
+Y_ = tf.placeholder(tf.float32, [None, 10])
+
+# loss function
+cross_entropy = -tf.reduce_sum(Y_ * tf.log*Y)
+
+### relu
+# Yf = tf.nn.relu(tf.matmul(X, W) + b)
+# pkeep = tf.placeholder(tf.float32)
+
+### drop out
+# Y = tf.nn.dropout(Yf, pkeep)
+
+# percentage of correct answers found
+is_correct = tf.equal(tf.argmax(Y, 1), tf.argmax(Y_, 1))
+accuracy = tf.reduce_mean(tf.cast(is_correct, tf.float32))
+
+# train
+optimizer = tf.train.GradientDescentOptimizer(0.003)  # learning rate
+train_step = optimizer.minimiza(cross_entropy)  # loss function
+
+
+sess = tf.Session()
+sess.run(init)
+
+for i in range(1000):
+    # load the batch of images and correct answers
+    batch_X, batch_Y = mnist.train.next_batch(100)
+    train_data = {X: batch_X, Y_: batch_Y}
+
+    # train
+    sess.run(train_step, feed_dict=train_data)
+    # success
+    a, c = sess.run([accuracy, cross_entropy], feed_dict=train_data)
+    # success on testing data? (similar to cross validation)
+    test_data = {X: mnist.test.images, Y_: mnist.test.labels}
+    a, c = sess.run([accuracy, cross_entropy], feed=test_data)
diff --git a/MachineLearning/TensorFlow/two_buoy_cnn.py b/MachineLearning/TensorFlow/two_buoy_cnn.py
new file mode 100644
index 0000000..b187bef
--- /dev/null
+++ b/MachineLearning/TensorFlow/two_buoy_cnn.py
@@ -0,0 +1,2 @@
+import tensorflow as tf
+