Imo, you do not have enough playing data to train full network.

One way to do this might be to have a general system to estimate player
strength from his records. My http://gostyle.j2m.cz project does something
similar, but for strong players it is not very precise..

I have recently tried to do this using cnn (from position, predict rank of
both players) and it works a bit, but still with high error and variance,
so it is not very reliable.

See my blog for a report on this
http://jmoudrik.github.io/post/2016/01/15/convolutional_neural_net_for_Go_strength_prediction.html

Regards,
Josef

Dne so 30. 1. 2016 15:50 uživatel Petri Pitkanen <petri.t.pitka...@gmail.com>
napsal:

> I do not think such exercise would give any meaningful results.  NN would
> not imitate it's 'hero' 1-1 not even close
>
> Funny such discussion keep on going on in Chess and Go, in chess i think
> Steiniz would be wiped of board by best players of today, but still he
> would be way better as he created much of modern chess anyway. I am pretty
> sure such players exists in Go as well
>
> 2016-01-30 14:23 GMT+02:00 "Ingo Althöfer" <3-hirn-ver...@gmx.de>:
>
>> Hi,
>>
>> in a German computer-go subforum we have a discussion which
>> involves a comparison of the "absolute" playing strengths of
>> current hero Lee Sedol and Shusaku (1829-1862).
>> http://senseis.xmp.net/?Shusaku
>> It is not possible to let them play a match against each other.
>>
>> But what about the following: Build two neural nets A and B with the same
>> overall structure. Let A be trained with the games of Sedol, and B
>> be trained with the games of Shusaku. Then let go bots based on A
>> and B play against each other. Would the outcome typically say something
>> about the playing strengths of Sedol and Shusaku in comparison?
>>
>> Ingo.
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>
>
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