HNN
HNN is a Haskell-based library designed for creating, training, and utilizing feed-forward neural networks. Unlike other libraries, HNN prioritizes simplicity and efficie... HNN is a Haskell-based library designed for creating, training, and utilizing feed-forward neural networks. Unlike other libraries, HNN prioritizes simplicity and efficiency, allowing users to implement neural networks without sacrificing performance. The library is fully written in Haskell, ensuring seamless integration with Haskell projects, and is available on Hackage.
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Company Information
- Company: HNN
- Country: United States
Top HNN Features
- Full-Haskell implementation
- Simple network creation
- Efficient training algorithms
- Customizable architectures
- Lightweight library design
- Active GitHub repository
- Easy installation via Hackage
- User-friendly documentation
- Support for feed-forward networks
- Open-source collaboration opportunities
- Minimal performance overhead
- Example usage provided
- Compatibility with GHC 6.8+
- Supports uvector package
- Community engagement via mailing list
- Easily extensible codebase
- Clear separation from C libraries
- Focus on neural network simplicity.
