Sounds like some kind of boosting, I suppose? On Thu, Feb 4, 2016 at 7:52 PM Marc Landgraf <mahrgel...@gmail.com> wrote:
> Hi, > > lately a friend and me wondered about the following idea. > > Let's assume you have a reasonably strong move prediction DCNN. What > happens if you now train a second net on the same database. > When training the first net, you tried to maximize the judgement value > of the expert move. But for the second net you now try to maximize the > maximum of the judgement of both nets. This means, that the second net > does not profit from finding moves the first net can easily find, but > instead will try to fill in the weaknesses of the first net. > In practical application the easy static usage would be to first > expand the top2 candidates of the first net, then mix in the top > candidate of the second net, then again the next 2 candidates from the > first net, etc. > > What do you guys think about that? > > Cheers, Marc > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go
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