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  1. Sigmoid函数
  2. S(x)=1/（1+e^（-x））
  3. 常被用作神经网络阈值函数，将变量映射到0,1之间
  4. loss function：
  5. L（yhat,y）=-(ylogyhat+(1-y)log(1-yhat))
  6. y一般是sigmoid函数，在0到1 之间
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