tf.train.exponential_decay()的理解与实践

self.learning_rate = tf.train.exponential_decay( self.initial_learning_rate, self.global_step, self.decay_steps, self.decay_rate, self.staircase = Ture, name='learning_rate') 采用了学习率衰减,主要是根据训练过程中训练步数来改变学习率,可以每步都改变,也可以每间隔steps来改变,上面的例子就是每经过d