Sounds similar to adversarial networks On Thu, Feb 4, 2016, 04:50 Huazuo Gao <gaohua...@gmail.com> wrote:
> 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 > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go
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