Would the expected improvement be reduced training time or improved accuracy?
2016-06-11 23:06 GMT+03:00 Stefan Kaitschick <stefan.kaitsch...@hamburg.de>: > If I understood it right, the playout NN in AlphaGo was created by using > the same training set as the one used for the large NN that is used in the > tree. There would be an alternative though. I don't know if this is the > best source, but here is one example: https://arxiv.org/pdf/1312.6184.pdf > The idea is to teach a shallow NN to mimic the outputs of a deeper net. > For one thing, this seems to give better results than direct training on > the same set. But also, more importantly, this could be done after the > large NN has been improved with selfplay. > And after that, the selfplay could be restarted with the new playout NN. > So it seems to me, there is real room for improvement here. > > Stefan > > _______________________________________________ > 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
