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You have to labour for the NNUE eval too. Unless you are a coward and reuse the code and weights that Stockfish already gave you. NNUE is not a magic bullet -- Stockfish NNUEs are a magic bullet. Everyone who has tried to replicate NNUE on their own will know this. @Dann Corbit: This is the most im...

To avoid misunderstandings:
I condemn one-on-one copying with zero added value.
No need for 5 same engine.

I agree with Andrew. Evaluation is the soul of the engine. LMR, Null move, etc is nothing without eval.

Thanks guys!
I was unsure, but thank you for the confirmation!

-Tamás

https://chess.stackexchange.com/questio ... r-brackets

Is the accepted answer really correct?
So is there a case where the points are not transferred one in one?

How does one prove the eval is linear? I am not saying that chess is linear. If all evaluation term are linear, then the whole is linear. It depends on your evaluation. Can anybody translate the links to NN chess for dummies? King placement is very important and this seems to be a starting point fo...

Hello, this is my first post. I'd like to know which way you suggest for calculating the derivative of the evaluation for each parameter for gradient descent with Texel tuning. I've read about (Eval(xi+1)-Eval(xi-1))/2, Eval(xi+1)-Eval(xi), auto differentiation libraries, Jacobian matrix and so for...

Tuning is now done in a similar fashion to back-propogation for neural networks rather than the gradient-descent method... ...each pertinent term is tweaked by a small amount in the direction to reduce error. this is the gradient-descent. the neural network also uses gradient-descent. backprop prop...

Tuning is now done in a similar fashion to back-propogation for neural networks rather than the gradient-descent method... ...each pertinent term is tweaked by a small amount in the direction to reduce error. this is the gradient-descent. the neural network also uses gradient-descent. backprop prop...

Hi! Hi, Halogen author here. 768x32x1 was the shape of the first network that was able to completely replace my old HCE. How strong was this network? How many examples did you used for learning? Gaining +60 elo already with a hybrid approach is very impressive for so few training positions. Thanks a...