On Sat, Mar 21, 2015 at 11:41 AM, Álvaro Begué wrote:
> I don't see why komi needs to participate in the hierarchical representation
> at all.
Yes, fair point. I guess I was taking 'komi' as an example of any
additional natural number that one might wish to feed into a net. But
youre right, in t
On Fri, Mar 20, 2015 at 8:24 PM, Hugh Perkins wrote:
> On 1/12/15, Álvaro Begué wrote:
> > A CNN that starts with a board and returns a single number will typically
> > have a few fully-connected layers at the end. You could make the komi an
> > extra input in the first one of those layers, or p
On 1/12/15, Álvaro Begué wrote:
> A CNN that starts with a board and returns a single number will typically
> have a few fully-connected layers at the end. You could make the komi an
> extra input in the first one of those layers, or perhaps in each of them.
That's an interesting idea. But then,
Hi Hiroshi,
I try to layout my approach:
- expandLeaf: expands a leaf node, after being visited 10 times (a
parameter, but increasing it usually did not harm playing strength
significantly)
it contains a
if (!expandmutex.try_lock())
return false;
which was in the code anyway to avoid, th
Todays bot tournament nicego19n (oakfoam) played with a CNN for move
Great! oakfoam had played with CNN already.
Second game vs Aya was difficult semeai with ko.
http://files.gokgs.com/games/2015/1/11/NiceGo19N-AyaMC.sgf
one position taking about 1.6ms on the GTX-970.
If C++ one thread do sa
On 1/11/15, Detlef Schmicker wrote:
> Todays bot tournament nicego19n (oakfoam) played with a CNN for move
> prediction.
Blimey! You coded that quickly. Impressive! :-)
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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
2015-01-11 15:59 GMT+00:00 Detlef Schmicker :
>
> 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 us
A CNN that starts with a board and returns a single number will typically
have a few fully-connected layers at the end. You could make the komi an
extra input in the first one of those layers, or perhaps in each of them.
Álvaro.
On Sun, Jan 11, 2015 at 10:59 AM, Detlef Schmicker wrote:
> Hi,
