create tf5

Author: Mofan Zhou

tensorflowTUT/tf5_example2/for_you_to_practice.py

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+# View more python learning tutorial on my Youtube and Youku channel!!!
+
+# Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg
+# Youku video tutorial: http://i.youku.com/pythontutorial
+
+import tensorflow as tf
+import numpy as np
+
+# create data
+x_data = np.random.rand(100).astype(np.float32)
+y_data = x_data*0.1 + 0.3
+
+### create tensorflow structure start ###
+
+### create tensorflow structure end ###
+          # Very important
+
+for step in range(201):
+    pass
+

tensorflowTUT/tf5_example2/full_code.py

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+# View more python learning tutorial on my Youtube and Youku channel!!!
+
+# Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg
+# Youku video tutorial: http://i.youku.com/pythontutorial
+
+import tensorflow as tf
+import numpy as np
+
+# create data
+x_data = np.random.rand(100).astype(np.float32)
+y_data = x_data*0.1 + 0.3
+
+### create tensorflow structure start ###
+Weights = tf.Variable(tf.random_uniform([1], -1.0, 1.0))
+biases = tf.Variable(tf.zeros([1]))
+
+y = Weights*x_data + biases
+
+loss = tf.reduce_mean(tf.square(y-y_data))
+optimizer = tf.train.GradientDescentOptimizer(0.5)
+train = optimizer.minimize(loss)
+
+init = tf.initialize_all_variables()
+### create tensorflow structure end ###
+
+sess = tf.Session()
+sess.run(init)          # Very important
+
+for step in range(201):
+    sess.run(train)
+    if step % 20 == 0:
+        print(step, sess.run(Weights), sess.run(biases))
+
+