But then, the komi wont really
participate in the hierarchical representation we are hoping that the
network will build, that I suppose we are hoping is the key to
obtaining human-comparable results?
Well... it seems that Hinton, in his dropout paper
http://arxiv.org/pdf/1207.0580.pdf , get
Perhaps what we want is a compromise between convnets and fcs though?
ie, either take an fc and make it a bit more sparse, and / or take an
fc and randomly link sets of weights together???
Maybe something like: each filter consists of eg 16 weights, which are
assigned randomly over all
On 1/12/15, Álvaro Begué alvaro.be...@gmail.com 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
On Mar 20, 2015, at 5:11 AM, Urban Hafner cont...@urbanhafner.com wrote:
So, I now have a new version of my bot running on CGOS
(http://cgos.boardspace.net/13x13/cross/Imrscl-016-AMAF.html). It's still
considerably weaker than GnuGo so I'm pretty sure it will loose all games
against it.
On Fri, Mar 20, 2015 at 8:24 PM, Hugh Perkins hughperk...@gmail.com wrote:
On 1/12/15, Álvaro Begué alvaro.be...@gmail.com 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
On Sat, Mar 21, 2015 at 11:41 AM, Álvaro Begué alvaro.be...@gmail.com 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.
Thanks Christoph!
On Fri, Mar 20, 2015 at 4:17 PM, Christoph Birk
b...@obs.carnegiescience.edu wrote:
On Mar 20, 2015, at 5:11 AM, Urban Hafner cont...@urbanhafner.com wrote:
So, I now have a new version of my bot running on CGOS (
