July 2017
Beginner to intermediate
442 pages
10h 8m
English
Content preview from Statistics for Machine Learning
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Activation functions
Activation functions are the mechanisms by which an artificial neuron processes information and passes it throughout the network. The activation function takes a single number and performs a certain fixed mathematical functional mapping on it. There are many different types of activation functions. The most popular ones are the following:
- Sigmoid
- Tanh
- Relu
- Linear
Sigmoid function: Sigmoid has the mathematical form σ(x) = 1 / (1+e−x). It takes a real-valued number and squashes it into a range between 0 and 1. Sigmoid is a popular choice, which makes calculating derivatives easy and is easy to interpret.
Tanh function: Tanh squashes the real-valued number into the range [-1, 1]. The output is zero-centered. In practice, ...
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