On Thu, Apr 21, 2016 at 1:20 PM, "Ingo Althöfer" <3-hirn-ver...@gmx.de>
wrote:
> Likely it is almost impossible for neural nets of "moderate" size
> to identify life/death stati of a groups.
>
No. Neural nets (even shallow ones like we used over a decade ago) are
quite capable to identify
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You are right, usually they do quite well, but e.g. liberty races with
large dragons are quite difficult.
And there must be a reason, why the value net was so wrong in the game
alphgo lost:)
Am 21.04.2016 um 13:51 schrieb Erik van der Werf:
> On
Hi Erik,
>> Likely it is almost impossible for neural nets of "moderate" size
>> to identify life/death stati of a groups.
>
> No. Neural nets (even shallow ones like we used over a decade ago)
> are quite capable to identify life/death. Sure you can construct
> pathological examples that in
Petr,
Tysvm! I really appreciate that.
Jim
On Thu, Apr 21, 2016 at 4:41 AM, Josef Moudrik wrote:
> Thank you!
>
> Dne čt 21. 4. 2016 11:17 uživatel Petr Baudis napsal:
>
>> Hi!
>>
>> Since "the record's stuck", I have found this as another rant
Thank you!
Dne čt 21. 4. 2016 11:17 uživatel Petr Baudis napsal:
> Hi!
>
> Since "the record's stuck", I have found this as another rant without
> point, and djhbrown hasn't responded to my private request for staying
> on topic and friendly, I have taken the liberty to "cast
Hi!
Since "the record's stuck", I have found this as another rant without
point, and djhbrown hasn't responded to my private request for staying
on topic and friendly, I have taken the liberty to "cast the first
stone" and
enabled the moderation bit for djhbrown.
I'll be happy to
Likely it is almost impossible for neural nets of "moderate" size
to identify life/death stati of a groups.
One difficult example (in the spirit of old Minsky/Papert who asked perceptrons
to identify the connectivity status of a "picture") might be the following
X-"around the board"-group which