A 4x faster alternative to ConvNetJS

While extending my knowledge of neural networks, I implemented a neural network library in Javascript. It has capabilities similar to ConvNetJS, but both training and testing are 4x faster (while still running in a single JS thread on the CPU).

I did not have time to prepare such nice demos, as there are for ConvNetJS. I guess you can use ConvNetJS for learning and experimenting, and use my library when you want to train a specific network.

Also, my library can load pre-trained models from ConvNetJS (JSON) and Coffe (.coffemodel).

https://github.com/photopea/UNN.js - it is only 18 kB.