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Re: [computer-go] Purpose of Neural-Nets?



Hi Chrilly,

chrilly wrote:
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.
Yes, until I find something better.

b) To learn network-learning.
No! For that I would strongly recommend a simpler domain than Go.

c) To write a paper about network-learning.
Partially, but writing papers was never my primary goal, it's just something you have to do when you're working in a university.

d) Its just fun to play around with neural-networks.
Sure, but many other techniques are fun also. The main thing is that I like learning, instead of having to hand code all the knowledge.


In case of a). One could first learn the weights and then hardcode the
weight-function to speed up the evaluation.
Do you mean implement in hardware or just stop the learning?


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?
So far I never used learning during tournament games, and the code for the supervised learning was never even in the tournament program.


Hope this answers your questions.

Best,
Erik

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