How to program a neural network for chess?

Question

I want to program a chess engine which learns to make good moves and win against other players. I\'ve already coded a representation of the chess board and a function which outp

Answer 1

It is possible, but not trivial by any means.

https://erikbern.com/2014/11/29/deep-learning-for-chess/

To train his evaluation function, he utilized a lot of computing power to do so.

To summarize generally, you could go about it as follows. Your evaluation function is a feedforward NN. Let the matrix computations lead to a scalar output valuing how good the move is. The input vector for the network is the board state represented by all the pieces on the board so say white pawn is 1, white knight is 2... and empty space is 0. An example board state input vector is simply a sequence of 0-12's. This evaluation can be trained using grandmaster games (available at a fics database for example) for many games, minimizing loss between what the current parameters say is the highest valuation and what move the grandmasters made (which should have the highest valuation). This of course assumes that the grandmaster moves are correct and optimal.