-----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
