Implement feedforward, convolution neural network in C++ with only built-in libraries. This is a tutorial style project which implements back propagation in neural networks without using external libraries. A 2D Tensor is defined and all the required Linear Algebra operations are defined to perform required computations. Both the networks are tested on mnist dataset which is attached along the project.
A header-only C++ library for deep neural networks
Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
header only, dependency-free deep learning framework in C++14
AMD OpenVX modules: such as, neural network inference, 360 video stitching, etc.
Compute Library for Deep Neural Networks (clDNN)
A C++ standalone library for machine learning