Genann
A minimal, well-tested library for training and using feedforward artificial neural networks in ANSI C.
What is Genann?
Genann is a minimal, well-tested library for training and using feedforward artificial neural networks in C. It solves the problem of needing a lightweight, dependency-free neural network implementation for embedded systems, educational projects, or applications where simplicity and performance are critical. It provides essential functions for network creation, backpropagation training, and evaluation while maintaining a small code footprint.
C developers working on embedded systems, educational tools, or projects requiring a lightweight neural network library without external dependencies. It's also suitable for researchers and hobbyists experimenting with custom training algorithms.
Developers choose Genann for its simplicity, speed, and hackability—it's entirely self-contained in two files, making it easy to integrate and modify. Unlike heavier alternatives, it focuses on providing only the necessary functionality while remaining compatible with various optimization methods.
Overview
simple neural network library in ANSI C
Use Cases
Best For
- Embedded systems requiring lightweight neural network inference
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
