Thanks, this is really interesting. I still need something that works on Windows, and I use Many Faces to visualize what's going on, so I'll stick with windows for development. I might use this for debugging on linux though.
David > -----Original Message----- > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf > Of Detlef Schmicker > Sent: Saturday, February 06, 2016 1:04 AM > To: computer-go@computer-go.org > Subject: Re: [Computer-go] What hardware to use to train the DNN > > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > Hi David, > > I am not happy with my IDE on linux too. You might give Visual Studio on > linux a try: > > https://www.visualstudio.com/de-de/products/code-vs.aspx > > It seems to be free... > > Detlef > > Am 05.02.2016 um 07:13 schrieb David Fotland: > > I ll do training on Linux for performance, and because it is so much > > easier to build than on Windows. I need something I can ship to my > > windows customers, that is light weight enough to play well without a > > GPU. > > > > > > > > All of my testing and evaluation machines and tools are on Windows, so > > I can t easily measure strength and progress on linux. I m also not > > eager to learn a new IDE. I like Visual Studio. > > > > > > > > David > > > > > > > > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On > > Behalf Of Petri Pitkanen Sent: Thursday, February 04, 2016 9:12 PM > > To: computer-go Subject: Re: [Computer-go] What hardware to use to > > train the DNN > > > > > > > > Welll, David is making a product. Making a product is 'trooper' > > solution unless you are making very specific product to a very narrow > > target group, willing to pay thousands for single license > > > > Petri > > > > > > > > 2016-02-04 23:50 GMT+02:00 uurtamo . <uurt...@gmail.com>: > > > > David, > > > > > > > > You're a trooper for doing this in windows. :) > > > > > > > > The OS overhead is generally lighter if you use unix; even the most > > modern windows versions have a few layers of slowdown. Unix (for > > better or worse) will give you closer, easier access to the hardware, > > and closer, easier access to halting your machine if you are deep in > > the guts. ;) > > > > > > > > s. > > > > > > > > > > > > On Tue, Feb 2, 2016 at 10:25 AM, David Fotland > > <fotl...@smart-games.com> wrote: > > > > Detlef, Hiroshi, Hideki, and others, > > > > I have caffelib integrated with Many Faces so I can evaluate a DNN. > > Thank you very much Detlef for sample code to set up the input layer. > > Building caffe on windows is painful. If anyone else is doing it and > > gets stuck I might be able to help. > > > > What hardware are you using to train networks? I don t have a > > cuda-capable GPU yet, so I'm going to buy a new box. I'd like some > > advice. Caffe is not well supported on Windows, so I plan to use a > > Linux box for training, but continue to use Windows for testing and > > development. For competitions I could use either windows or linux. > > > > Thanks in advance, > > > > David > > > >> -----Original Message----- From: Computer-go > >> [mailto:computer-go-boun...@computer-go.org] On Behalf Of Hiroshi > >> Yamashita Sent: Monday, February 01, 2016 11:26 PM To: > >> computer-go@computer-go.org Subject: *****SPAM***** Re: > >> [Computer-go] DCNN can solve semeai? > >> > >> Hi Detlef, > >> > >> My study heavily depends on your information. Especially Oakfoam > >> code, lenet.prototxt and generate_sample_data_leveldb.py was helpful. > >> Thanks! > >> > >>> Quite interesting that you do not reach the prediction rate 57% from > >>> the facebook paper by far too! I have the same experience with the > >> > >> I'm trying 12 layers 256 filters, but it is around 49.8%. I think 57% > >> is maybe from KGS games. > >> > >>> Did you strip the games before 1800AD, as mentioned in the FB paper? > >>> I did not do it and was thinking my training is not ok, but as you > >>> have the same result probably this is the only difference?! > >> > >> I also did not use before 1800AD. And don't use hadicap games. > >> Training positions are 15693570 from 76000 games. Test > >> positions are 445693 from 2156 games. All games are shuffled > >> in advance. Each position is randomly rotated. And memorizing > >> 24000 positions, then shuffle and store to LebelDB. At first I did > >> not shuffle games. Then accuracy is down each 61000 iteration (one > >> epoch, 256 mini-batch). http://www.yss-aya.com/20160108.png > >> It means DCNN understands easily the difference 1800AD games and > >> 2015AD games. I was surprised DCNN's ability. And maybe 1800AD games > >> are also not good for training? > >> > >> Regards, Hiroshi Yamashita > >> > >> ----- Original Message ----- From: "Detlef Schmicker" > >> <d...@physik.de> To: <computer-go@computer-go.org> Sent: Tuesday, > >> February 02, 2016 3:15 PM Subject: Re: [Computer-go] DCNN can solve > >> semeai? > >> > >>> Thanks a lot for sharing this. > >>> > >>> Quite interesting that you do not reach the prediction rate 57% from > >>> the facebook paper by far too! I have the same experience with the > >>> GoGoD database. My numbers are nearly the same as yours 49% :) my > >>> net is quite simelar, but I use 7,5,5,3,3,.... > >>> with 12 layers in total. > >>> > >>> Did you strip the games before 1800AD, as mentioned in the FB paper? > >>> I did not do it and was thinking my training is not ok, but as you > >>> have the same result probably this is the only difference?! > >>> > >>> Best regards, > >>> > >>> Detlef > >> > >> _______________________________________________ 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 > > > > > > > > > > _______________________________________________ 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 > > > -----BEGIN PGP SIGNATURE----- > Version: GnuPG v2.0.22 (GNU/Linux) > > iQIcBAEBAgAGBQJWtbcJAAoJEInWdHg+Znf4Mt4P/06CEe/EmTRnUUL+akaoTxnz > Nt/IwwVaHIVuMMj4F4KstFoqGh0RPBJHICa9pN+8ud7HRfZWRIeOVDr5uiYbg6Cj > 27ojF/q9KOhWeM3q9zLXUrLifTCF50k4TP2aYwkuVzCAxJzUhPdoK+h8cuAZ6E8S > X53JtpFup9pJbPglL8Ds/iIgkxXHs8MIpjo/y4mSJrne7/TdaLEtqZB0S7YfKljv > jc21PwySdiSRLj55+71RvLZpnIWHZX0L9z0xxMUKOBG5TZjlObXPWaMRha//gubN > iogyHc84HCYO8Rh0oC6BkdORUz0QzlIrTs9ats7Frnnypzcz/n4RLhd7GDG9Skiw > fDZuTaZuvWZ1shkiBFwSkCto3Vs4/D/1xsNxMvloJ6fdLJ+FUkkAgckqxHoKqDAi > BrQBU58sf/zHp5sZRh8B5ExUDkwowdw9P/EXZBiWodWVlQJpnr+2UrBsHYGIRfKs > EggogTaO1hXU+lzw2fagITiy72KJDT+KmMIyw0UR2v1dMFVK41+YJeCVS+seXqpD > rf2A58sDvHcatnvhKmYGQeNzoNrIGUmZ47664263nLEvl8L3lCBQ1P4y4QMFw2W8 > rSZ00m2z8LxVpRqb0aosZ65UfOHIqZdt7Z9iRgZ9x1HEZHjF4mbo6/dANKorTfod > D7TFI+pldBScGdgF+AEy > =IGTq > -----END PGP SIGNATURE----- > _______________________________________________ > 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
