barebonesnn 0.1.1

A neural network library built from scratch.

BareBonesNN is a lightweight neural network library implemented from scratch in Python, without relying on high-level machine learning libraries. This project aims to provide a clear and fundamental understanding of neural network concepts and operations, making it an excellent educational resource for learning and experimentation.

## Features

• Basic Neural Network Components: Core classes including Value, Neuron, Layer, and MLP (Multi-Layer Perceptron).

• Automatic Differentiation: Built-in backpropagation for gradient computation.

• Customisable and Extensible: Easily modify and extend the code to experiment with various neural network architectures.

• Lightweight: Minimal dependencies, focusing on core principles.

## Installation

To install BareBonesNN, use pip:

`bash pip install barebonesnn==0.1.0 `

## Contributing

Contributions are welcome! If you have suggestions, bug reports, or feature requests, please open an issue or submit a pull request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.