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.
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Metadata
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Release files for barebonesnn 0.1.1
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Source distribution (sdist)
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| barebonesnn-0.1.1.tar.gz | 6.2 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| barebonesnn-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.5 kB
Release files / barebonesnn-0.1.1.tar.gz
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| Tags | Python 3 |
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