Yes, it's 0.15 seconds for 128 positions.
A minibatch is a small set of samples that is used to compute an
approximation to the gradient before you take a step of gradient descent. I
think it's not simply called a "batch" because "batch training" refers to
computing the full gradient with all the
Is "KGS rank" set 9 dan when it plays against Fuego?
For me, the improvement from just using a subset of the training data
was one of the most surprising results.
As far as I can tell, they use ALL the training data. That's the point.
They filter by dan, and the CNN must then have less confide
On 2014-12-19 15:25, Hiroshi Yamashita wrote:
> Ko fight is weak. Ko threat is simpley good pattern move.
I suppose you could train on a subset of data: only positions where
there was a ko-illegal move on the board. Then you could learn ko
threats. And then use this alternative NN when meeting a k
Aja wrote:
>> I hope you enjoy our work. Comments and questions are welcome.
I've just been catching up on the last few weeks, and its papers. Very
interesting :-)
I think Hiroshi's questions got missed?
Hiroshi Yamashita asked on 2014-12-20:
> I have three questions.
>
> I don't understand min
> The discussion on move evaluation via CNNs got me wondering: has anyone
> tried to make an evaluation function with CNNs ?
My first thought was a human can find good moves with a glance at a
board position, but even the best pros need to both count and use search
to work out the score. So NNs go
Follow up question to the testing, how should I interpret the resulting html
file from the analyze command?
I alternate colors between the engines, Gnu Go is Black in the first game. Both
Gnu Go and my engine have a section in the html file with Black Wins x%. Is
that the amount of wins for eac
