sam-jain / xor_neuralnet

2 approaches to make and train a neural network to solve one of the basic XOR Problem.

XOR problem solved using Neural Network and Machine Learning

This project involves 2 approaches to make and train a neural network to solve the basic XOR Problem. The first approach is using the Back Propagation Network using the numpy and the second one using Feed Forward Network using neuralpy.

Getting Started

Prerequisites

Since this project is implemented in Python, you need to know about basic programming in python. Also, 2 external libraries are used which are:

1. Neuralpy
2. Numpy To install these dependencies use

pip install numpy
pip install neuralpy

Executing the code

Use an IDE or simply python command line to execute the programs.

Output

For Feed Forward Network

[0.967022732] [0.034269741] [0.954815775] [0.042835310]

For Back Propagation Network

Output After Training [0.00966449] [0.00786506] [0.99358898] [0.99211957]

Built with

• PyCharm

Author

• Sanyam Jain