I did some calculus at school, but that was years ago. I haven't studied
either of the other two though. I'm willing to do some learning if these
subjects are prerequisites for a good understanding of neural networks.

2009/3/6 Øystein Johansen (OJOHANS) <[email protected]>

> Welcome to a really interesting world of backgammon, neural networks,
> machine learning and AI.
>
> It makes it simpler to explain if you tell us a bit about your mathematical
> background. What do you know about linear algebra, calculus and statistics?
> Have you studied any of these subjects?
>
> -Øystein
>
>
> >-----Original Message-----
> >From: [email protected]
> >[mailto:bug-gnubg-bounces+ojohans <bug-gnubg-bounces%2Bojohans>=
> [email protected]] On
> >Behalf Of Ralph Moritz
> >Sent: Friday, March 06, 2009 2:24 PM
> >To: [email protected]
> >Subject: [Bug-gnubg] Neural Net Tutorials
> >
> >Hi,
> >
> >I want to learn about neural nets and how gnubg uses them to
> >learn to play better backgammon. I've read Tesauro's paper
> >"Temporal Difference Learning and TD-Gammon" and this gave me
> >some insight. Specifically, this was my first time reading
> >about TD learning, MLPs etc.
> >
> >I understand that machine learning is a vast subject that
> >requires years of study to properly appreciate, so I guess
> >what I'm looking for is more of a practical introduction on
> >how to implement a neural net for some practical purpose. I've
> >googled for neural net tutorials but come up empty handed. I
> >know reading the code is one option, but I'd prefer to do this
> >_after_ I've learnt the basics. Could someone on this list be
> >so kind as to point me in the right direction? Any information
> >that is easy for a layman to digest would be much appreciated.
>
>
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