[Computer-go] [ADMIN] Three lost emails by Aja Huang on Dec 20

2015-01-11 Thread Petr Baudis
Hi! It turns out that due to mail server misconfiguration, three of Aja Huang's emails on Dec 20 were not delivered to most or all subscribers: http://computer-go.org/pipermail/computer-go/2014-December/007061.html http://computer-go.org/pipermail/computer-go/2014-December/007

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional NeuralNetworks

2015-01-11 Thread Hugh Perkins
Darren wrote: > I'm wondering if I've misunderstood, but does this mean it is the same as just training your CNN on the 9-dan games, and ignoring all the 8-dan and weaker games? (Surely the benefit of seeing more positions outweighs the relatively minor difference in pro player strength??) It's ju

Re: [Computer-go] Datasets for CNN training?

2015-01-11 Thread Hugh Perkins
> Why don’t you make a dataset of the raw board positions, along with code to > convert to Clark and Storkey planes? The data will be smaller, people can > verify against Clark and Storkey, and they have the data to make their own > choices about preprocessing for network inputs. Well, a lot o

Re: [Computer-go] Representing Komi for neural network

2015-01-11 Thread Hugh Perkins
On 1/11/15, Detlef Schmicker wrote: > Todays bot tournament nicego19n (oakfoam) played with a CNN for move > prediction. Blimey! You coded that quickly. Impressive! :-) ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/ma

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional NeuralNetworks

2015-01-11 Thread Darren Cook
> Is "KGS rank" set 9 dan when it plays against Fuego? Aja replied: > Yes. I'm wondering if I've misunderstood, but does this mean it is the same as just training your CNN on the 9-dan games, and ignoring all the 8-dan and weaker games? (Surely the benefit of seeing more positions outweighs the r

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional NeuralNetworks

2015-01-11 Thread Aja Huang
2015-01-09 23:04 GMT+00:00 Darren Cook : > 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? > I did answer Hiroshi's questions. h

Re: [Computer-go] Representing Komi for neural network

2015-01-11 Thread Detlef Schmicker
Sure, https://bitbucket.org/dsmic/oakfoam is my bench, but it is not as clean as the original bench (e.g. the directory of the cnn file is hard coded and the autotools are not preparing for caffe at the moment:( But there should be all tools I use to train in script/CNN, I use caffe Am

Re: [Computer-go] Representing Komi for neural network

2015-01-11 Thread Aja Huang
2015-01-11 15:59 GMT+00:00 Detlef Schmicker : > > By the way: > Todays bot tournament nicego19n (oakfoam) played with a CNN for move > prediction. > It was mixed into the original gamma with some quickly optimized parameter > leading to >100ELO improvement for selfplay with 2000 playouts/move. I us

Re: [Computer-go] Datasets for CNN training?

2015-01-11 Thread David Fotland
Why don’t you make a dataset of the raw board positions, along with code to convert to Clark and Storkey planes? The data will be smaller, people can verify against Clark and Storkey, and they have the data to make their own choices about preprocessing for network inputs. David > -Origina

Re: [Computer-go] Representing Komi for neural network

2015-01-11 Thread Álvaro Begué
A CNN that starts with a board and returns a single number will typically have a few fully-connected layers at the end. You could make the komi an extra input in the first one of those layers, or perhaps in each of them. Álvaro. On Sun, Jan 11, 2015 at 10:59 AM, Detlef Schmicker wrote: > Hi,

[Computer-go] Representing Komi for neural network

2015-01-11 Thread Detlef Schmicker
Hi, I am planing to play around a little with CNN for learning who is leading in a board position. What would you suggest to represent the komi? I would try an additional layer with every point having the value of komi. Any better suggestions:) By the way: Todays bot tournament nicego19n (

Re: [Computer-go] Datasets for CNN training?

2015-01-11 Thread Hugh Perkins
Made a start here: https://github.com/hughperkins/kgsgo-dataset-preprocessor - downlaods the html page,with list of download zip urls from kgs - downlaods the zip files, based on html page - unzips the zip files - loads each sgf file in turn - uses gomill to parse the sgf file, check it is 19x19, a

[Computer-go] Different result Chinese and Japanese rule

2015-01-11 Thread Hiroshi Yamashita
Hi, 4th World Go Meijin Competition was held 3 days ago, and Chen won by half point. It was played on Chinese rule, but if it were on Japanese rule, Chen would have lost by half point. It is because Japanese rule does not count territory in seki. I wonder it is maybe interesting KGS 9x9 tourname

[Computer-go] alternative for cgos

2015-01-11 Thread folkert
Hi, I have the feeling that cgos won't come back in even the distant future so I was wondering if there are any alternatives? E.g. a server that constantly lets go engines play against each other and then determines an elo rating for them. Folkert van Heusden -- Afraid of irssi? Scared of bitc

[Computer-go] Datasets for CNN training?

2015-01-11 Thread Hugh Perkins
Thinking about datasets for CNN training, of which I lack one currently :-P Hence I've been using MNIST , but also since MNIST results are widely known, and if I train with a couple of layers, and get 12% accuracy, obviously I know I have to fix something :-P But now, my network consistently gets