Activation Functions In Neural Network

It's recommended to understand what's a neural network before reading this composition. In The process of erecting a neural network, one of the choices you get to make is what activation function to use in the retired subcaste as well as at the affair subcaste of the network. This composition discusses some of the choices.


Rudiments of a Neural Network-

Input Subcaste-

This subcaste accepts input features. It provides information from the outside world to the network, no calculation is performed at this subcaste, bumps then just pass on the information (features) to the retired subcaste.

Hidden Subcaste-

 Bumps of this subcaste aren't exposed to the external world, they're the part of the abstraction handed by any activation functions in neural networks. Retired subcaste performs all kind of calculation on the features entered through the input subcaste and transfer the result to the affair subcaste.

Affair Subcaste-

This subcaste bring up the information learned by the network to the external world.




What is an activation function and why to apply them?


Description of activation function-Activation function decides, whether a neuron should be actuated or not by calculating weighted sum and farther adding bias with it. The purpose of the activation function is to introducenon-linearity into the affair of a neuron.

Explanation-

We know, neural network has neurons that work in correspondence of weight, bias and their separate activation function. In a neural network, we'd modernize the weights and impulses of the neurons on the base of the error at the affair. This process is known as back-propagation. Activation functions make the reverse-propagation possible since the slants are supplied along with the error to modernize the weights and impulses.

Why do we needNon-linear activation functions-

A neural network without an activation function is basically just a direct retrogression model. The activation function does thenon-linear metamorphosis to the input making it able to learn and perform more complex tasks.

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