MLitB: Machine Learning in the Browser

1 code implementation • 8 Dec 2014 • Edward Meeds, Remco Hendriks, Said Al Faraby, Magiel Bruntink, Max Welling

Beyond an educational resource for ML, the browser has vast potential to not only improve the state-of-the-art in ML research, but also, inexpensively and on a massive scale, to bring sophisticated ML learning and prediction to the public at large.

BIG-bench Machine Learning Distributed Computing +1