this doesn't actually speed up the neural networks that much; it's a technique to more quickly brute-force the search space of possible neural networks for ones that execute faster while maintaining similar accuracy. Typical hype article.
Anyway, the effort spent looking for bizarre architectures is probably better spent doing more iterations of zero-style self-play with the same architecture, since it seems likely we haven't maxed out the strength of our existing architectures. On Sun, Mar 24, 2019 at 6:29 PM Ray Tayek <rta...@ca.rr.com> wrote: > > https://www.extremetech.com/computing/288152-mit-develops-algorithm-to-accelerate-neural-networks-by-200x > > i wonder how much this would speed up go programs? > > thanks > > -- > Honesty is a very expensive gift. So, don't expect it from cheap people - > Warren Buffett > http://tayek.com/ > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go
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