Activation function

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7 Types of Activation Functions in Neural Networks: How to Choose?

In artificial neural networks, the activation function of a node defines the output of that node given an input or set of inputs. A standard integrated circuit can be seen as a digital network of activation functions that can be "ON" (1) or "OFF" (0), depending on the input.

This is similar to the behavior of the linear perceptron in neural networks. However, only nonlinear activation functions allow such networks to compute nontrivial problems using only a small number of nodes, and such activation functions are called nonlinearities.


Complete Guide of Activation Functions | by Pawan Jain | Towards ...


Activation functions and when to use them
Activation Functions Explained - GELU, SELU, ELU, ReLU and more

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