yixuan/MiniDNN
A header-only C++ library for building and training feed-forward deep neural networks using Eigen for numerical computing.
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MiniDNN is a header-only C++98 library that implements popular deep neural network models. It builds on the Eigen library for high-performance numerical computing and enables users to construct feed-forward neural networks through a programmatic API. The library is designed to be portable, modular, and extensible, with detailed implementation documentation that can serve as a learning resource for understanding how DNNs work internally.
Frequently asked
- What is yixuan/MiniDNN?
- A header-only C++ library for building and training feed-forward deep neural networks using Eigen for numerical computing.
- Is MiniDNN open source?
- Yes — yixuan/MiniDNN is an open-source project tracked on heatdrop.
- What language is MiniDNN written in?
- yixuan/MiniDNN is primarily written in C++.
- How popular is MiniDNN?
- yixuan/MiniDNN has 435 stars on GitHub.
- Where can I find MiniDNN?
- yixuan/MiniDNN is on GitHub at https://github.com/yixuan/MiniDNN.