Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

I found a bug... In 9_i50_F64L11_p.prototxt, "policy head", name: "conv_1x1_2_policy" num_output: 2 should be name: "conv_1x1_1_policy" num_output: 1 Hiroshi Yamashita On 2018/03/02 4:21, Hiroshi Yamashita wrote: Hi Imran, I have only changed input shape. On Caffe, from 9x9

Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

Perfect, thank you. I was wondering about doing this with a fully-convolutional architecture, and it looks like that is what you are doing! On Thu, Mar 1, 2018 at 2:21 PM, Hiroshi Yamashita wrote: > Hi Imran, > > I have only changed input shape. > On Caffe, > > from 9x9 >

Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

Hi Imran, I have only changed input shape. On Caffe, from 9x9 input_dim: 1 input_dim: 50 input_dim: 9 input_dim: 9 to 19x19 input_dim: 1 input_dim: 50 input_dim: 19 input_dim: 19 This is available on fully convolutional. http://computer-go.org/pipermail/computer-go/2015-December/008324.html

Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

Hi Hiroshi, Are you using zero-padding to allow input shapes to match for all board sizes? Thanks, Imran On Thu, Mar 1, 2018 at 12:06 AM, Cornelius wrote: > Hi Sighris, > > i have always thought that creating algorithms for arbitrary large go > boards should enlighten us in

Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

Hi Sighris, i have always thought that creating algorithms for arbitrary large go boards should enlighten us in regards to playing on smaller go boards. A humans performance doesn't differ that much on differently sized large go boards and it scales pretty well. For example one would find it

Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

Hello Hiroshi, hello friends, a very interesting discussion. Thank you for all your contributions. > 19x19 policy is similar strength on 13x13 and 166 Elo weaker on 9x9. > 9x9 policy is 390 Elo weaker on 13x13, and 491 Elo weaker on 19x19. > It seems smaller board is more useless than bigger

Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

I'm curious, does anybody have any interest in programs for 23x23 (or larger) Go boards? BR, Sighris On Fri, Feb 23, 2018 at 8:58 AM, Erik van der Werf wrote: > In the old days I trained separate move predictors on 9x9 games and on > 19x19 games. In my case, the

Re: [Computer-go] Using 9x9 policy on 13x13 and 19x19

In the old days I trained separate move predictors on 9x9 games and on 19x19 games. In my case, the ones trained on 19x19 games beat the ones trained on 9x9 games also on the 9x9 board. Perhaps it was just because of was having better data from 19x19, but I thought it was interesting to see that

[Computer-go] Using 9x9 policy on 13x13 and 19x19

Hi, Using 19x19 policy on 9x9 and 13x13 is effective. But opposite is? I made 9x9 policy from Aya's 10k playout/move selfplay. Using 9x9 policy on 13x13 and 19x19 19x19 DCNNAyaF128from9x91799 13x13 DCNNAyaF128from9x91900 9x9 DCNN_AyaF128a558x12290 Using 19x19 policy on 9x9 and