In this post, we are going to have a look at a program written in `Python3`

using `numpy`

. We will discuss the basics of what a **perceptron **is, what is the **delta rule **and how to use it to converge the learning of the perceptron.

## What is a perceptron?

The perceptron is an algorithm for supervised learning of binary classifiers (let’s assumer `{1, 0}`

). We have a linear combination of weight vector and the input data vector that is passed through an activation function and then compared to a threshold value. If the linear combination is greater than the threshold, we predict the class as `1`

otherwise `0\. Mathematically,`

#python #machine-learning #data-science #programming #computer-science