TensorFlow hello world

TensorFlow hello world.md

	import tensorflow as tf


	import numpy as np
	x_input = np.array([[1,2,3,4,5]])
	y_input = np.array([[10]])


	x = tf.placeholder(tf.float32, [None, 5])
	y = tf.placeholder(tf.float32, [None, 1])


	W = tf.Variable(tf.zeros([5, 1]))
	b = tf.Variable(tf.zeros([1]))
	y_pred = tf.matmul(x, W)+b


	loss = tf.reduce_sum(tf.pow((y-y_pred), 2))


	train = tf.train.GradientDescentOptimizer(0.0001).minimize(loss)


	init = tf.global_variables_initializer()


	sess = tf.Session()
	sess.run(init)
	for i in range(10):
	    feed_dict = {x: x_input, y: y_input}
	    sess.run(train, feed_dict=feed_dict)


	sess = tf.Session()
	sess.run(init)
	for i in range(10):
	    feed_dict = {x: x_input, y: y_input}
	    _, loss_value = sess.run([train, loss], feed_dict=feed_dict)
	    print(loss_value)

100.0
97.77255
95.594696
93.46538
91.38347
89.34794
87.357765
85.41191
83.5094
81.64925