ctak/src/cnn_train.py, branch mainAn implementation of Tak and a computer opponent in Chttps://git.l-3.space/ctak/atom?h=main2026-08-28T18:37:41Znew neural network arch (faster + better) & minor changes + fixes2026-08-28T18:37:41Ztslil clingmantslil@posteo.de2023-01-15T15:03:37Zurn:sha1:ee216c008a188a9436fedb85c70ee5d1719733b1
Gone is the convolutional neural network, for it turns out not only is
it more difficult to train, but all of the extra information about
board layers didn't make much of a difference at this size.
So cnn1986 has been replaced by nn1986, a standard, two-layer, dense
nn configured as a binary classifier and (mis)used in that capacity.
Note: total number of parameters is unchanged.
HARK: this new nn exposes a bug somewhere in ctak. Run ctlm with
self-play to see the completely borked board state at the end.
Corrected generation of training data for 6s2026-08-28T18:37:41Ztslil clingmantslil@posteo.de2021-03-18T03:10:53Zurn:sha1:c9823c76dd43aa40bef3f67fa0940a78cb40bf05Small typo in generated output for weights2026-08-28T18:37:41Ztslil clingmantslil@posteo.de2021-02-05T21:37:32Zurn:sha1:5bc1e056412cb7d96831ab7ae32842c166b38436Tried some naive iterative deepening. Work on TEI interface next2026-08-28T18:37:41Ztslil clingmantslil@posteo.de2021-02-02T02:46:24Zurn:sha1:11956b2e940f5e1839efab187d898092e819a766
If TEI is implemented, then i could make use of Morten's
racetrack (https://github.com/MortenLohne/racetrack) and develop a
quantitative measure of the bot's performance. This is the current
priority.
Just some #weightgoals ;)2026-08-28T18:37:41Ztslil clingmantslil@posteo.de2021-02-01T04:33:39Zurn:sha1:328c8d1e3094a942d6a2edd933c9cc4ab09daab1
It turns out that while i was training on a 0/1 classification
problem, i was using 2*eval - 1. Training using this function instead,
and on bot-dominated game choices (chosen_player in extract.sh) seems
to have given a better evaluation function. At the least, Morten's
swindle doesn't work anymore.
Syntax errors, small tweak to training data generation2026-08-28T18:37:41Ztslil clingmantslil@posteo.de2021-01-29T19:05:06Zurn:sha1:fcface1079b1c44c7ccca3d117c698347c978f20