There are ways to do it, but it might be messy. However, the vast majority of the computational effort will be in playing games to generate a training database, and that part is trivial to distribute. Testing if the new version is better than the old version is also very easy to distribute.
Álvaro. On Wed, Oct 25, 2017 at 11:57 AM, Xavier Combelle <xavier.combe...@gmail.com > wrote: > Is there some way to distribute learning of a neural network ? > > Le 25/10/2017 à 05:43, Andy a écrit : > > Gian-Carlo, I didn't realize at first that you were planning to create a > crowd-sourced project. I hope this project can get off the ground and > running! > > I'll look into installing this but I always find it hard to get all the > tool chain stuff going. > > > > 2017-10-24 15:02 GMT-05:00 Gian-Carlo Pascutto <g...@sjeng.org>: > >> On 23-10-17 10:39, Darren Cook wrote: >> >> The source of AlphaGo Zero is really of zero interest (pun intended). >> > >> > The source code is the first-hand account of how it works, whereas an >> > academic paper is a second-hand account. So, definitely not zero use. >> >> This should be fairly accurate: >> >> https://github.com/gcp/leela-zero >> >> -- >> GCP >> _______________________________________________ >> Computer-go mailing list >> Computer-go@computer-go.org >> http://computer-go.org/mailman/listinfo/computer-go > > > > > _______________________________________________ > Computer-go mailing > listComputer-go@computer-go.orghttp://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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