If you start with a 19x19 grid and you take convolutional filters of size 5x5 (as an example), you'll end up with a board of size 15x15, because a 5x5 box can be placed inside a 19x19 board in 15x15 different locations. We can get 19x19 outputs if we allow the 5x5 box to be centered on any point, but then you need to do multiply by values outside of the original 19x19 board. Zero-padding just means you'll use 0 as the value coming from outside the board. You can either prepare a 23x23 matrix with two rows of zeros along the edges, or you can just keep the 19x19 input and do your math carefully so terms outside the board are ignored.
On Sat, Dec 20, 2014 at 12:01 PM, Detlef Schmicker <d...@physik.de> wrote: > Hi, > > I am still fighting with the NN slang, but why do you zero-padd the > output (page 3: 4 Architecture & Training)? > > From all I read up to now, most are zero-padding the input to make the > output fit 19x19?! > > Thanks for the great work > > Detlef > > Am Freitag, den 19.12.2014, 23:17 +0000 schrieb Aja Huang: > > Hi all, > > > > > > We've just submitted our paper to ICLR. We made the draft available at > > http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf > > > > > > > > I hope you enjoy our work. Comments and questions are welcome. > > > > > > Regards, > > Aja > > _______________________________________________ > > 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 >
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