Overview / Usage

https://github.com/akhauriyash/XNOR-convolution

This project hopes to implement an optimized model of a quantized neural network.

TO DO:

• [x] Add support for variable input sizes
• [x] Add support for 3D convolution
• [x] Parallelize per convolution
• [ ] Maximize shared memory usage - balance channel parallelization
• [ ] Create a full precision verification kernel
• [ ] Add full support for custom kernel sizes
• [ ] Build a parser to take in shape arguments
• [ ] Add in proof of concept for densely connected networks