Perceptron Model

• This is the code for simple perceptron model.

The perceptron was invented in 1957 by Frank Rosenblatt at the Cornell Aeronautical Laboratory , a perceptron is the simplest neural network possible: a computational model of a single neuron. A perceptron consists of one or more inputs, a processor, and a single output.

This repository contains the implementation of the perceptron model for classifiying linearly separable data. The training data consists of,

Inputs:

X = [X1 X2]

where,

X₁ = Height of the person

X₂ = Weight of the person

Outputs:

y = {1,-1}

where,

y = 1 indicates male, and

y = -1 indicates female

Check out my Medium post for a better understanding on this topic :)

~Nikhil_Chigali