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 neural network. 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.

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