Re: [Computer-go] What hardware to use to train the DNN

Will geforce 940m do cuDNN? From: Hiroshi Yamashita To: computer-go@computer-go.org Sent: Wednesday, February 3, 2016 2:55 AM Subject: Re: [Computer-go] What hardware to use to train the DNN Hi David, I use GTS 450 and GTX 980. I use Caffe on ubuntu 14.04. Caffe's insta

Re: [Computer-go] What hardware to use to train the DNN

As I understand it: for C/C++ VS Code is just an editor not a compiler or debugger. But as VS 2015 can already work with LLDB and gdb it is only a question of time and free licensing of more .NET parts, I assume. - Michael. ___ Computer-go mailing

Re: [Computer-go] What hardware to use to train the DNN

rom: 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: SH

Re: [Computer-go] What hardware to use to train the DNN

and train using caffe. David > -Original Message- > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf > Of Richard Lorentz > Sent: Saturday, February 06, 2016 6:39 AM > To: computer-go@computer-go.org > Subject: Re: [Computer-go] What hardware to

Re: [Computer-go] What hardware to use to train the DNN

Thought I'd ask you this off line. Are you using Code:Blocks and finding it's crashing a lot recently? (That's my experience.) -Richard On 02/06/2016 01:04 AM, Detlef Schmicker wrote: I am not happy with my IDE on linux too. ___ Computer-go mailin

Re: [Computer-go] What hardware to use to train the DNN

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 ta

Re: [Computer-go] What hardware to use to train the DNN

] 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

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 . : > David, > > You're a trooper for doing this in windows. :)

Re: [Computer-go] What hardware to use to train the DNN

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 you

Re: [Computer-go] What hardware to use to train the DNN

Since Zen's engine is improved sololy by Yomato, I have no idea in detail but I believe Yamato has used one Mac Pro so far (Linux and Windows). #He has implemented DCNN by himself, not using tools. Hideki David Fotland: <0a0301d15de7$1180d760$34828620$@smart-games.com>: >Detlef, Hiroshi, Hide

Re: [Computer-go] What hardware to use to train the DNN

Hi David, I use GTS 450 and GTX 980. I use Caffe on ubuntu 14.04. Caffe's install is difficult. So I recommend using ubuntu 14.04. time for predicting a position Detlef44% Detlef54% CUDA cores clock GTS 450 17.2ms 21 ms 192 783MHz GTX 980

Re: [Computer-go] What hardware to use to train the DNN

Hi David, I've used a GTX 970 for training deep convnets without issue. Depending on your budget, a GTX 980 Ti or TITAN X would be even better (we use some TITAN X's in our lab). The main thing about using smaller GPUs for training these networks is that depending on the implementation of the neur

Re: [Computer-go] What hardware to use to train the DNN

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 Hi David, I use Ubuntu 14.04 LTS with a NVIDIA GTX970 Graphic card (and i7-4970k, but this is not important for training I think) and installed CUDNN v4 (important, at least a factor 4 in training speed). This Ubuntu version is officially supported b