Amazon uses deep neural nets in many, many areas. There is some overlap with the kind of nets used in AlphaGo. I passed a link to the paper on to one of our researchers and he found it very interesting. DNN works very well when there is a lot of labelled data to learn from. It can be useful to examine a problem area from the point of view: where can I get the most labelled data?
David > -----Original Message----- > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf > Of "Ingo Althöfer" > Sent: Tuesday, February 02, 2016 12:31 AM > To: computer-go@computer-go.org > Subject: *****SPAM***** Re: [Computer-go] Mastering the Game of Go with > Deep Neural Networks and Tree Search > > Hi George, > > welcome, and thanks for your valuable hint on the Google-whitepaper. > > Do/did you have/see any cross-relations between your research and > computer Go? > > Cheers, Ingo. > > > Gesendet: Dienstag, 02. Februar 2016 um 05:14 Uhr Von: "George Dahl" > <george.d...@gmail.com> An: computer-go <computer-go@computer-go.org> > Betreff: Re: [Computer-go] Mastering the Game of Go with Deep Neural > Networks and Tree Search > > If anything, the other great DCNN applications predate the application > of these methods to Go. Deep neural nets (convnets and other types) have > been successfully applied in computer vision, robotics, speech > recognition, machine translation, natural language processing, and hosts > of other areas. The first paragraph of the TensorFlow whitepaper > (http://download.tensorflow.org/paper/whitepaper2015.pdf) even mentions > dozens at Alphabet specifically. > > Of course the future will hold even more exciting applications, but > these techniques have been proven in many important problems long before > they had success in Go and they are used by many different companies and > research groups. Many example applications from the literature or at > various companies used models trained on a single machine with GPUs. > > On Mon, Feb 1, 2016 at 12:00 PM, Hideki Kato > <hideki_ka...@ybb.ne.jp[hideki_ka...@ybb.ne.jp]> wrote:Ingo Althofer: > <trinity-a297d40e-3cf2-45f1-8d38-13a5912b636c-1454339862588@3capp-gmx- > bs72>: > >Hi Hideki, > > > >first of all congrats to the nice performance of Zen over the weekend! > > > >> Ingo and all, > >> Why you care AlphaGo and DCNN so much? > > > >I can speak only for myself. DCNNs may be not only applied to achieve > >better playing strength. One may use them to create playing styles, or > >bots for go variants. > > > >One of my favorites is robot frisbee go. > >http://www.althofer.de/robot-play/frisbee-robot-go.jpg[http://www.altho > >fer.de/robot-play/frisbee-robot-go.jpg] > >Perhaps one can teach robots with DCNN to throw the disks better. > > > >And my expectation is: During 2016 we will see many more fantastic > >applications of DCNN, not only in Go. (Olivier had made a similar > >remark already.) > > Agree but one criticism. If such great DCNN applications all need huge > machine power like AlphaGo (upon execution, not training), then the > technology is hard to apply to many areas, autos and robots, for > examples. Are DCNN chips the only way to reduce computational cost? I > don't forecast other possibilities. > Much more economical methods should be developed anyway. > #Our brain consumes less than 100 watt. > > Hideki > > >Ingo. > > > >PS. Dietmar Wolz, my partner in space trajectory design, just told me > >that in his company they started woth deep learning... > >_______________________________________________ > >Computer-go mailing list > >Computer-go@computer-go.org[Computer-go@computer-go.org] > >http://computer-go.org/mailman/listinfo/computer-go[http://computer-go. > >org/mailman/listinfo/computer-go] > -- > Hideki Kato <mailto:hideki_ka...@ybb.ne.jp[hideki_ka...@ybb.ne.jp]> > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org[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[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
