4 Activation Functions in Python to know!

Hello, readers! In this article, we will be focusing on Python Activation functions, in detail.

So, let us get started!! 🙂

What is an Activation function?

In the world of Neural networking and deep learning with convolutional models, Python has been playing a significant role when it comes to modeling and analysis of data.

Activation functions are the mathematical base model that enables us to control the output of the neural network model. That is, it helps us analyze and estimate whether a neuron contributing to the enablement of the model is to be kept within or removed (fired).

Some of the prominent Activation functions–

ReLu function
Leaky ReLu function
Sigmoid function
Softmax function
Linear function, etc.