Tensorboard使用

with tf.name_scope('loss_value'): loss=tf.reduce_mean(tf.losses.softmax_cross_entropy(onehot_labels=y_, logits=y))+tf.add_n(tf.get_collection('losses')) # loss=np.square(y-y_)) # 监视loss值 tf.summary.scalar('loss_value',loss) # 指数衰减学习率 learning_rate=tf.train.exponential_dec