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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
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
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
