You don't need a neural net to predict pro moves at this level. My measurement metric was slightly different, I counted how far down the list of moves the "pro" move appeared, so matching the pro move scored as 100% and being tenth on a list of 100 moves scored 90%.
Combining simple metrics such as 3x3 neighborhood, position on the board, and proximity to previous play, you can easily get to an average score of 85%, without producing noticeably good play, at least without a search to back it up. http://real-me.net/ddyer/go/global-eval.html _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
