Artificial Neural Network

Introduction

This project implements a artificial neural network from scratch and compares it with models from scikit-learn. The neural network is implemented using only numpy and is trained using the backpropagation algorithm.

Quick Start

This project provide a demo of the neural network implementation with diabetes dataset. To run the demo, execute the following command:

python demo.py

Requirements

• Python 3.7 or higher
• Other dependencies listed in requirements.txt

Install the required packages using:

pip install -r requirements.txt

Project Structure

The project directory is structured as follows:

ArtificialNeuralNetwork/
├── ann/                    # Neural network implementation
├── README.md               # This file
├── requirements.txt        # Required packages
└── demo.py                 # Demo of project