Sure,
https://bitbucket.org/dsmic/oakfoam
is my bench, but it is not as clean as the original bench (e.g. the
directory of the cnn file is hard coded and the autotools are not
preparing for caffe at the moment:(
But there should be all tools I use to train in script/CNN, I use caffe....
Am 11.01.2015 um 22:41 schrieb Aja Huang:
2015-01-11 15:59 GMT+00:00 Detlef Schmicker <d...@physik.de
<mailto:d...@physik.de>>:
By the way:
Todays bot tournament nicego19n (oakfoam) played with a CNN for
move prediction.
It was mixed into the original gamma with some quickly optimized
parameter leading to >100ELO improvement for selfplay with 2000
playouts/move. I used the Clark and Storkey Network, but with no
additional features (only a black and a white layer). I trained it
on 60000 kgs games and reached about 41% prediction rate. I have
no delayed evaluation, as I evaluate no mini-batch but only one
position taking about 1.6ms on the GTX-970. A little delay might
happen anyway, as only one evaluation is done at once and other
threads might go on playing while one thread is doing CNN. We have
quite slow playouts anyway, so I had around 70000 playouts/move
during the game.
If you want to get an impression, how such a bot plays, have a
look at the games :)
Congrats on oakfoam's significant improvement with the CNN. The game
oakfoam beat HiroBot[1d] is very nice
http://files.gokgs.com/games/2015/1/11/HiraBot-NiceGo19N.sgf
Would you release the newest version of oakfoam and the CNN? I
couldn't find your git or svn repository at
http://oakfoam.com/#downloads
Aja
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