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Dear all,
In my own field, computer-chess, there are no real efforts to
build a neural-net programm. In Go neural nets seem to be an inportant concept.
Can the neural-net experts explain me the purpose? Is it
primarly:
a) To make the strongest Go-programm possible.
b) To learn network-learning.
c) To write a paper about network-learning.
d) Its just fun to play around with
neural-networks.
e) Others.
In case of a). One could first learn the weights and
then hardcode the weight-function to speed up the evaluation.
Alternatively one could have 2 versions of a program. The slow learner and
the fast tournament-player. Is this done, or is a neural-net programm always a
neural-net program?
Best Regards
Chrilly
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