Tensorflow：Adam Optimizer使用

tf.train.AdamOptimizer官网接口文档

 def __init__(self, learning_rate=0.001, beta1=0.9, beta2=0.999, epsilon=1e-8,
               use_locking=False, name="Adam"):

• learning_rate: A Tensor or a floating point value. The learning rate.
  学习率
• beta1: A float value or a constant float tensor. The exponential decay rate for the 1st moment estimates.
  指数衰减率的一阶矩估计
• beta2: A float value or a constant float tensor. The exponential decay rate for the 2nd moment estimates.
  指数衰减率的二阶矩估计
• epsilon: A small constant for numerical stability.
  防止分母除以0
  论文截图：
  算法细节

进一步学习可以看文章：
你真的懂Adam吗？