nnet_learn:zap:

Welcome to my Neural Network repository! This repo serves as a learning record of my journey in deep learning. 📝

Description 📄

In this repository, you'll find implementations of neural networks using basic Python packages such as NumPy&CuPy. The implementations are based on the book Deep Learning from Scratch.

Table of Contents 📑

1. Introduction
2. Dependencies
3. Usage
4. Contributing
5. License

Introduction 🙋

Deep Learning is a fascinating and rapidly-evolving field. This repository will help me (and hopefully others) understand the core concepts of deep learning by implementing neural networks from scratch using simple Python libraries.

Dependencies 🔧

To run the code in this repository, you'll need the following dependencies:

• Python 3.x
• NumPy&CuPy

Usage 💻

To use this repository, simply clone it to your local machine and navigate to the specific implementation you'd like to try.

Contributing 🤝

Contributions are more than welcome! If you'd like to contribute, please follow these steps:

1. Fork the repository
2. Create a new branch for your contribution (git checkout -b my-contribution)
3. Commit your changes (git commit -m 'Add my contribution')
4. Push to your branch (git push origin my-contribution)
5. Create a Pull Request

License 📜

This project is licensed under the MIT License. See the LICENSE file for more information.