Neural Networks and Deep Learning
3.6 Activation Function sigmoid: a=11+e−z a = 1 1 + e − z 取值在(0,1)之间，除非是二分类的输出层，一般不选用，因为 tanh t a n h 比sigmoid表现要好。 tanh: a=ez−e−zez+e−z a = e z − e − z e z + e − z 取值在(-1,1)，有数据中心化效果，使得网络的训练更容易，因此表现比
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