Sukiyaki JavaScript Library
The Fastest Deep Learning Library for JavaScript
Sukiyaki is being developed as the fastest Deep Learning Library for JavaScript. It uses Sushi ( https://github.com/mil-tokyo/sushi ) inside for the fast matrix calculation.
Related papers are available ( http://mil-tokyo.github.io/miljs.html ).
Technical Features
Support of GPGPU and multi-core CPU
You can use GPGPU and multi-core CPU via Sushi. If your system does not support WebCL, Sukiyaki uses standard JavaScript automatically.
Support of Deep Convolutional Neural Network
How to Try
initialize and download dataset
node install
cd ./sample/dataset/mnist
# or
cd ./sample/dataset/cifar
./download.sh
If you don't have node,
mkdir node_modules
git clone https://github.com/mil-tokyo/sushi node_modules/milsushi
try sample program with node.js
node ./sample/node/main
> mnist
try sample program with browsers
./sample/browser/server.sh
and access http://localhost:64649/sample/browser
If you would like to use GPGPU, check Sushi ( https://github.com/mil-tokyo/sushi ) and install a WebCL implementation.