Deep learning with C++ - an introduction to tiny-dnn1. tiny-dnn is a header-only deep learning framework for C++ that aims to be easy to introduce, have simple syntax, and support extensible backends. 2. It allows defining neural networks concisely using modern C++ features and supports common network types like MLPs and CNNs through simple syntax similar to Keras and TensorFlow. 3. The framework has optional performance-oriented backends like AVX
