On Fri, Aug 18, 2017 at 06:31:54PM +0200, Gian-Carlo Pascutto wrote:
> On 18-08-17 16:56, Petr Baudis wrote:
> >> Uh, what was the argument again?
> >
> > Well, unrelated to what you wrote :-) - that Deep Blue implemented
> > existing methods in a cool application, while AlphaGo introduced
> >
On 18/08/2017 20:34, Petr Baudis wrote:
> You may be completely right! And yes, I was thinking about Deep Blue
> in isolation, not that aware about general computer chess history. Do
> you have some suggested reading regarding Deep Blue and its lineage and
> their contributions to the field of
On 18/08/2017 23:07, uurtamo . wrote:
> They run on laptops. A program that could crush a grandmaster will run
> on my laptop. That's an assertion I can't prove, but I'm asking you to
> verify it or suggest otherwise.
Sure.
> Now the situation with go is different.
For what it's worth, I would
Gian-Carlo,
I only ask, not to be snippy or impolite, but because I have just exactly
enough knowledge to be dangerous enough to have no freaking idea what I'm
talking about wrt chess research, and by way of introduction, let me say
that I've seen some people talk about (and a coworker at my
Hi,
I recommend the very interesting thread
https://lifein19x19.com/viewtopic.php?f=18=14466=0
on this event at Life-in-19x19.
Cheeers, Ingo.
___
Computer-go mailing list
Computer-go@computer-go.org
http://computer-go.org/mailman/listinfo/computer-go
On 17-08-17 21:35, Darren Cook wrote:
> "I'm sure some things were learned about parallel processing... but the
> real science was known by the 1997 rematch... but AlphaGo is an entirely
> different thing. Deep Blue's chess algorithms were good for playing
> chess very well. The machine-learning
GCP wrote:
> Maybe we should stop inventing artificial differences and appreciate
> that the tools in our toolbox have become much sharper over the years.
Amen.
___
Computer-go mailing list
Computer-go@computer-go.org
While browsing the online, I found an interesting idea "chain pooling"
presented here:
https://github.com/jmgilmer/GoCNN
The idea is to have some early layers that perform a max-pool across
solidly-connected stones. I could also imagine it being useful to perform a
sum. So the input would be a
On Fri, Aug 18, 2017 at 09:06:41AM +0200, Gian-Carlo Pascutto wrote:
> On 17-08-17 21:35, Darren Cook wrote:
> > "I'm sure some things were learned about parallel processing... but the
> > real science was known by the 1997 rematch... but AlphaGo is an entirely
> > different thing. Deep Blue's
When TensorFlow was first released I used it to implement a CNN for move
prediction and evaluation, and I requested the addition of a function to
implement chain pooling: https://github.com/tensorflow/tensorflow/issues/549
It's now implemented here:
10 matches
Mail list logo
