Re: [Computer-go] Crazy Stone is back

Hi Hiroshi, Yes, Weights_33_400 was trained on 9x9. None of the Weights bot uses playouts. I experimented training different network architectures with the same self-play data, so that's why newer networks are not necessarily stronger than older ones. Rémi - Mail original - De:

Re: [Computer-go] Crazy Stone is back

> I tried chain pooling too, and it was too slow. It made the network about twice slower in tensorflow (using tf.unsorted_segment_sum or max). I'd rather have twice more layers. tf.unsorted_segment_max didn't exist in the first public release of TensorFlow, so I requested it just for this purpose

Re: [Computer-go] Crazy Stone is back

Hi David, Thanks for sharing your experiments. It is very interesting. I tried chain pooling too, and it was too slow. It made the network about twice slower in tensorflow (using tf.unsorted_segment_sum or max). I'd rather have twice more layers. I never tried dilated convolutions. That

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

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

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] 9x9 is last frontier?

Go is hard. Programming is hard. Programming Go is hard squared. ;^) Cheers, David G Doshay ddos...@mac.com > On 28, Feb 2018, at 5:43 PM, Hideki Kato wrote: > > Go is still hard for both human and computers :). ___

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] 9x9 is last frontier?

Von: "David Doshay" > Go is hard. > Programming is hard. >  > Programming Go is hard squared.  > ;^) And that on square boards. Mama mia! ;-) Ingo. ___ Computer-go mailing list Computer-go@computer-go.org