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README_pypi.md

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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:

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 file for details.