Yes, it's 0.15 seconds for 128 positions. A minibatch is a small set of samples that is used to compute an approximation to the gradient before you take a step of gradient descent. I think it's not simply called a "batch" because "batch training" refers to computing the full gradient with all the samples before you take a step of gradient descent. "Minibatch" is standard terminology in the NN community.
Álvaro. On Fri, Jan 9, 2015 at 6:04 PM, Darren Cook <dar...@dcook.org> wrote: > Aja wrote: > >> I hope you enjoy our work. Comments and questions are welcome. > > I've just been catching up on the last few weeks, and its papers. Very > interesting :-) > > I think Hiroshi's questions got missed? > > Hiroshi Yamashita asked on 2014-12-20: > > I have three questions. > > > > I don't understand minibatch. Does CNN need 0.15sec for a positon, or > > 0.15sec for 128 positions? > > I also wasn't sure what "minibatch" meant. Why not just say "batch"? > > > Is "KGS rank" set 9 dan when it plays against Fuego? > > For me, the improvement from just using a subset of the training data > was one of the most surprising results. > > Darren > > > -- > Darren Cook, Software Researcher/Developer > My new book: Data Push Apps with HTML5 SSE > Published by O'Reilly: (ask me for a discount code!) > http://shop.oreilly.com/product/0636920030928.do > Also on Amazon and at all good booksellers! > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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