TensorFlow两种方式计算Cross Entropy

import tensorflow as tf

y=tf.constant([[0.1,0.8,0.2]])

y_=tf.constant([[0,1,0]])

cross_entropy1 = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=y, labels=tf.argmax(y_, 1))

cross_entropy2 = tf.nn.softmax_cross_entropy_with_logits(logits=y, labels=y_)

with tf.Session() as sess:

    tf.global_variables_initializer().run()

    print(sess.run(cross_entropy1))

    print(sess.run(cross_entropy2))