Concur w/Brian. While the authors present genuine contributions, meta-learning doesn't apply well to zero-sized architectures.
I didn't get a lot from the article, the arxiv link for the work done is https://arxiv.org/abs/1812.00332 Best, -Chaz On Sun, Mar 24, 2019 at 4:17 PM Brian Lee <[email protected]> wrote: > 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 <[email protected]> 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 >> [email protected] >> http://computer-go.org/mailman/listinfo/computer-go > > _______________________________________________ > Computer-go mailing list > [email protected] > http://computer-go.org/mailman/listinfo/computer-go
_______________________________________________ Computer-go mailing list [email protected] http://computer-go.org/mailman/listinfo/computer-go
