Nice to know. I wrongly believe that training such a big neural network
would need considerable hardware.

Le 25/10/2017 à 19:54, Álvaro Begué a écrit :
> There are ways to do it, but it might be messy. However, the vast
> majority of the computational effort will be in playing games to
> generate a training database, and that part is trivial to distribute.
> Testing if the new version is better than the old version is also very
> easy to distribute.
>
> Álvaro.
>
>
> On Wed, Oct 25, 2017 at 11:57 AM, Xavier Combelle
> <xavier.combe...@gmail.com <mailto:xavier.combe...@gmail.com>> wrote:
>
>     Is there some way to distribute learning of a neural network ?
>
>
>     Le 25/10/2017 à 05:43, Andy a écrit :
>>     Gian-Carlo, I didn't realize at first that you were planning to
>>     create a crowd-sourced project. I hope this project can get off
>>     the ground and running!
>>
>>     I'll look into installing this but I always find it hard to get
>>     all the tool chain stuff going.
>>
>>
>>
>>     2017-10-24 15:02 GMT-05:00 Gian-Carlo Pascutto <g...@sjeng.org
>>     <mailto:g...@sjeng.org>>:
>>
>>         On 23-10-17 10:39, Darren Cook wrote:
>>         >> The source of AlphaGo Zero is really of zero interest (pun
>>         intended).
>>         >
>>         > The source code is the first-hand account of how it works,
>>         whereas an
>>         > academic paper is a second-hand account. So, definitely not
>>         zero use.
>>
>>         This should be fairly accurate:
>>
>>         https://github.com/gcp/leela-zero
>>         <https://github.com/gcp/leela-zero>
>>
>>         --
>>         GCP
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>>
>>
>>
>>
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