Neural Network Learning Project

Overview

This repository is an educational project aimed at understanding and demonstrating how neural networks work. It is not intended to be an out-of-the-box solution for immediate use. Training a neural network is a time-consuming process, and reducing the training time is not the goal of this repository.

Project Structure

• main.go: The main entry point of the application.
• model/: Contains the implementation of the neural network.
• mnist/: Contains functions to load the MNIST dataset.
• utlis/: Contains utility functions used by the neural network.

Getting Started

Prerequisites

• Go programming language installed on your machine.

Installation

1. Clone the repository:

git clone https://github.com/bonavi/learning-ml-go.git
cd learning-ml-go

2. Install dependencies:go mod tidy

Running the Project

1. Run the application: go run main.go
2. Wait for the neural network to train.
3. Watch accuracy improve over time.
4. Draw a digit on the canvas and see the neural network predict the digit.

Important Notes

• Training Time: Training the neural network takes a significant amount of time. This project is designed to help you understand the process, not to optimize training time.
• Educational Purpose: The primary goal of this project is to provide a clear and understandable example of how neural networks function. It is not optimized for performance or efficiency.