TucaNNo: neural network research

Discussion of chess software programming and technical issues.

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Kieren Pearson
Posts: 70
Joined: Tue Dec 31, 2019 2:52 am
Full name: Kieren Pearson

Re: TucaNNo: neural network research

Post by Kieren Pearson »

100m is a good number. Current Halogen nets were trained with around 30M positions.
Last edited by Kieren Pearson on Wed Nov 11, 2020 9:22 am, edited 1 time in total.
Kieren Pearson
Posts: 70
Joined: Tue Dec 31, 2019 2:52 am
Full name: Kieren Pearson

Re: TucaNNo: neural network research

Post by Kieren Pearson »

sedicla wrote: Tue Nov 10, 2020 1:41 pm
Kieren Pearson wrote: Tue Nov 10, 2020 5:45 am "I was thinking that a smaller NN probably won't be able to replace HCE completely" not saying a hybrid approach is worse but in Halogen the HCE was completely replaced with a NN and subsequently became a much stronger engine
Hi Kieren,
Looking at your engine inspired me to go for a small network now, and later I can test bigger ones.
How many positions you used for training? I'm shooting for 100M.
Thanks.
100m is a good number. Current Halogen nets were trained with around 30M positions.