Hi Petr,
to clarify a bit:
pylearn2 specifically comes with a script to convert a model trained
on a GPU into a version that runs on the CPU. This doesn't work very
well though and the documentation points that out too. According to
the dev commens that is down to how Theano, the framework
On Tue, Mar 01, 2016 at 02:51:03PM -0800, David Fotland wrote:
> > Also, if you are training on a GPU you can probably avoid a lot of
> > hassle if you expect to run it on a GPU as well. I don't know how other
> > NN implementations handle it, but the GPU-to-CPU conversion script that
> > comes
ent: Tuesday, March 01, 2016 2:21 PM
> To: computer-go@computer-go.org
> Subject: Re: [Computer-go] Deep Zen - do we have a race now?
>
> Would be nice to have it as an option. My desktop PC and my laptop both
> have CUDA-enabled graphics, and that isn't uncommon anymore.
>
> A
any news on open source deep learning type of go program?
From: Petr Baudis <pa...@ucw.cz>
To: computer-go@computer-go.org
Sent: Wednesday, March 2, 2016 1:19 AM
Subject: Re: [Computer-go] Deep Zen - do we have a race now?
On Tue, Mar 01, 2016 at 09:14:39AM -0800, David F
On Tue, Mar 01, 2016 at 09:14:39AM -0800, David Fotland wrote:
> Very interesting, but it should also mention Aya.
>
> I'm working on this as well, but I haven’t bought any hardware yet. My goal
> is not to get 7 dan on expensive hardware, but to get as much strength as I
> can on standard
to run. I'll have to buy a GPU for training.
David
> -Original Message-
> From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf
> Of "Ingo Althöfer"
> Sent: Tuesday, March 01, 2016 8:45 AM
> To: computer-go@computer-go.org
> Subject: [Comput
Read here:
http://www.lifein19x19.com/forum/viewtopic.php?p=199532#p199532
Wonderfully exciting times!
Ingo.
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