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.