
RustNN
RustNN is a user-friendly neural network library in Rust that facilitates the creation of feedforward networks. It enables the construction of fully connected multi-layer architectures, trained through backpropagation. With incremental training, users can implement various configurations, such as networks to solve the XOR function, enhancing flexibility and control over the training process.
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Top RustNN Features
- Incremental training mode
- Fully connected networks
- Easy to use API
- Customizable training options
- Feedforward architecture
- Backpropagation training
- XOR function example
- Rust language integration
- Multi-layer capabilities
- Neural network crate
- Comprehensive documentation
- Support for various use cases
- Efficient memory management
- Cross-platform compatibility
- Extensive feedback incorporation
- Active community support
- Performance optimization tools
- User-friendly examples
- Modular design approach
- Clear struct definitions.