Tiny-dnn is a C++ implementation of deep learning. It is suitable for deep learning on limited computational resource, embedded systems and IoT devices.

Features:

* Reasonably fast, without GPU; * Portable & header-only; * Easy to integrate with real applications; * Simply implemented.