On 19/06/2017 21:31, Vincent Richard wrote: > - The data is then analyzed by a script which extracts all kind of > features from games. When I'm training a network, I load the features I > want from this analysis to build the batch. I have 2 possible methods > for the batch construction. I can either add moves one after the other > (the fast mode) or pick random moves among different games (slower but > reduces the variance).
You absolutely need the latter, especially as for outcome prediction the moves from the same game are not independent samples. > During sime of the tests, all the networks I was training had the same > layers except for the last. So as you suggested, I was also wondering if > this last layer wasn’t the problem. Yet, I haven’t found any error. ... > However, if I feed a stupid > value as target output (for example black always win) it has no trouble > learning. A problem with side to move/won side marking in the input or feature planes, or with the expected outcome (0 vs 1 vs -1)? -- GCP _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
