TensorFlow测试程序

import tensorflow as tfimport numpy as npx_data = np.float32(np.random.rand(2, 100))y_data = np.dot([0.100, 0.200], x_data) + 0.300b = tf.Variable(tf.zeros([1]))W = tf.Variable(tf.random_uniform([1, 2], -1.0, 1.0))y = tf.matmul(W, x_data) + b               loss = tf.reduce_mean(tf.square(y - y_data))optimizer = tf.train.GradientDescentOptimizer(0.5)train = optimizer.minimize(loss)init = tf.initialize_all_variables()sess = tf.Session()sess.run(init)              for step in xrange(0, 201):    sess.run(train)    if step % 20 == 0:        print step, sess.run(W), sess.run(b)