[Computer-go] Neural Net move prediction
gaohuazuo at gmail.com
Thu Feb 4 04:50:37 PST 2016
Sounds like some kind of boosting, I suppose?
On Thu, Feb 4, 2016 at 7:52 PM Marc Landgraf <mahrgell87 at gmail.com> wrote:
> 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 at computer-go.org
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