Deep learning for… Go
DECEMBER 10, 2014
This is the last post about deep learning for chess/go/whatever. But this really cool paper by Christopher Clark and Amos Storkey was forwarded to me by Michael Eickenberg. It’s about using convolutional neural networks to play Go. The authors of the paper do a much better job than I would ever have done of modeling move prediction in Go and show that their model beat certain Go engines.