一个TensorFlow的例子

import tensorflow as tfx = tf.constant(1.0, name='input')w = tf.Variable(0.8, name='weight')y = tf.multiply(w, x, name='output')y_ = tf.constant(0.0, name='correct_value')loss = tf.pow(y - y_, 2, name='loss')train_step = tf.train.GradientDescentOptimizer(0.025).minimize(loss)for value in [x, w, y, y_, loss]:    tf.summary.scalar(value.op.name, value)summaries = tf.summary.merge_all()with tf.Session() as sess:    summary_writer = tf.summary.FileWriter('log_simple_stats', sess.graph)    sess.run(tf.global_variables_initializer())    for i in range(100):        summary_writer.add_summary(sess.run(summaries), i)        sess.run(train_step)