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activation function


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  • References :
    • Reading:
      • Tom Mitchell Lectures slides of chapter 4
      • Tom Mitchell, Machine Learning Chapter 4
  • Questions :
  • Also known as squashing Function
Figure 1: Activation Functions, from this post

Figure 1: Activation Functions, from this post

Sigmoid

  • output is a non linear function of its inputs and is differentiable threshold function
  • also called logistic function
  • output ranges from 0 to 1
Figure 2: The sigmoid threshold unit, from Tom Mitchell Lectures

Figure 2: The sigmoid threshold unit, from Tom Mitchell Lectures

Tanh

  • \(f(x) = tanh(x) = \frac{(e^{x} - e^{-x})} {(e^{x} + e^{-x})}\)

  • \(f’(x) = 1 - (tanh(x))^{2}\)

ReLU

⇦ ⇨

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