Hey everyone, I recently trained a CNN to do board evaluation in Go. You can see the work on github:
https://github.com/jmgilmer/GoCNN The network was trained on 15000 professional games which didn't end in resignation, I had the network try to predict the final ownership based on current board position. It's really interesting to see what it learned, although I'm not sure it would perform well as part of a go engine (it is not great at life and death). I invite you to check out the github repo, I have some demonstrations of the model in the README. Any comments/criticisms/questions are most welcome, I will be working to improve the model in the future. Cheers! -Justin
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