Neural Networks and Deep Learning
3.6 Activation Function sigmoid: a=11+e−z a = 1 1 + e − z 取值在(0,1)之間，除非是二分類的輸出層，一般不選用，因爲 tanh t a n h 比sigmoid表現要好。 tanh: a=ez−e−zez+e−z a = e z − e − z e z + e − z 取值在(-1,1)，有數據中心化效果，使得網絡的訓練更容易，因此表現比
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