学习率的设定 global_step = tf.Variable(0,trainble=False) starter_learning = 0.1 # 初始学习率为0.1 # 每隔10000次学习率变为原来的0.96 learning_rate = tf.exponential_dacay(starter_learning_rate,\ global_setp,10000,0.96,staircase=True) optimizer = tf.GradientDescent(learning_rate) optimizer.minimize(...my_loss...,global_step=global_setp)