Hi,
I am just trying to reproduce the data from page 7 with all features
disabled. I do not reach the accuracy (I stay below 20%).
Now I wonder about a short statement in the paper, I did not really
understand:
On page 4 top right they state "In our experience using the rectifier
function was slightly more effective then using the tanh function"
Where do they put this functions in? I use caffe, and as far as I
understood it, I would have to add extra layers to get a function like
this. Does this mean: before every layer there should be a tanh or
rectifier layer?
I would be glad to share my sources if somebody is trying the same,
Detlef
Am 15.12.2014 um 00:53 schrieb Hiroshi Yamashita:
Hi,
This paper looks very cool.
Teaching Deep Convolutional Neural Networks to Play Go
http://arxiv.org/pdf/1412.3409v1.pdf
Thier move prediction got 91% winrate against GNU Go and 14%
against Fuego in 19x19.
Regards,
Hiroshi Yamashita
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