January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Types of activation functions
- Sigmoid: This type of activation function comes along as follows:
The value of this function ranges between 0 and 1. It comes with a lot of issues:
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- Vanishing gradient
- Its output is not zero-centered
- It has slow convergence
- Hyperbolic tangent function (tanh): The mathematical formula to represent it is this:
The value of this function ranges between -1 and +1. However, it still faces the vanishing gradient problem:
- Rectified Linear Units (ReLU): Mathematically, we represent it in the following manner: ...
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