Nice
On Mar 31, 2016 7:48 AM, "Álvaro Begué" wrote:
> A very simple-minded way of trying to identify what a particular neuron in
> the upper layers is doing is to find the 50 positions in the database that
> make it produce the highest activation values. If the neuron is
On 31/03/2016, "Ingo Althöfer" <3-hirn-ver...@gmx.de> wrote:
> somehow he went into a
> "strange loop", and in the end he was asked to stop posting.
asked by the very person i was trying to help! That was the last straw.
Ironically, whilst i was openly trying to help all montes, not just
A very simple-minded way of trying to identify what a particular neuron in
the upper layers is doing is to find the 50 positions in the database that
make it produce the highest activation values. If the neuron is in one of
the convolutional layers, you get a full 19x19 image of activation values,
Then again DNNs also manage feature extraction on unlabeled data with
increasing levels of abstraction towards upper layers. Perhaps one
could apply such a specifically trained DNN to artificial board
situations that emphasize specific concepts and examine the network's
activation, trying to map
Ingo,
That's precisely what has my knickers in a twist regarding djhbrown; his
prior behavior. I'm with you in that I hope that he better manages his
participation and uses list feedback to spend a little more time filtering
what his "creativity" so it fits closer to the listening of this
Robert,
This is exactly why I think the "explanation of the suggested moves"
requires a much deeper baking into the participating ANN's (bottom up
approach). And given what I have read thus far, I am still seeing the risk
extraordinarily high and the payoff exceedingly low, outside an academic
Message: 3
Date: Thu, 31 Mar 2016 08:35:51 +0200
From: Robert Jasiek <jas...@snafu.de>
To: computer-go@computer-go.org
Subject: Re: [Computer-go] new challenge for Go programmers
Message-ID: <56fcc547@snafu.de>
Content-Type: text/plain; charset=UTF-8; format=flowed
On 31.03.2016
Ingo Althöfer"
Sent: Thursday, March 31, 2016 4:31 AM
To: computer-go@computer-go.org
Subject: Re: [Computer-go] new challenge for Go programmers
Hello all,
"Brian Sheppard" <sheppar...@aol.com> wrote:
> ... This is out of line, IMO. Djhbrown asked a sensible ques
Hello all,
"Brian Sheppard" wrote:
> ... This is out of line, IMO. Djhbrown asked a sensible question that has
> valuable intentions. I would like to see responsible, thoughtful, and
> constructive replies.
there is a natural explanation why some people here react allergic
On 31.03.2016 03:52, Bill Whig wrote:
If the program would merely output 3-5 suggested positions, that would probably suffice.
Even an advanced beginner, such as myself, could I believe, understand why they are good
choices. Just having the "short list" would probably be quite an educational
"Similar to Neuro-Science, where reverse engineering methods like fMRI
reveal structure in brain activity, we demonstrated how to describe the
agent’s policy with simple logic rules by processing the network’s neural
activity. This is important since often humans can understand the optimal
policy
this is also interesting, to visualize "how the NN thinks"
http://blog.acolyer.org/2016/03/02/graying-the-black-box-understanding-dqns/
On Wed, Mar 30, 2016 at 10:38 PM, Ben wrote:
> It would be very interesting to see what these go playing neural networks
> dream
rom:* Computer-go [mailto:computer-go-boun...@computer-go.org] *On
> Behalf Of *uurtamo .
> *Sent:* Wednesday, March 30, 2016 7:43 PM
> *To:* computer-go <computer-go@computer-go.org>
> *Subject:* Re: [Computer-go] new challenge for Go programmers
>
>
>
> He cann
If the program would merely output 3-5 suggested positions, that would
probably suffice. Even an advanced beginner, such as myself, could I believe,
understand why they are good choices. Just having the "short list" would
probably be quite an educational tool! It would probably even help
To: computer-go <computer-go@computer-go.org>
Subject: Re: [Computer-go] new challenge for Go programmers
He cannot possibly write code
On Mar 30, 2016 4:38 PM, "Jim O'Flaherty" <jim.oflaherty...@gmail.com
<mailto:jim.oflaherty...@gmail.com> > wrote:
I don't think djh
He cannot possibly write code
On Mar 30, 2016 4:38 PM, "Jim O'Flaherty"
wrote:
> I don't think djhbrown is a software engineer. And he seems to have the
> most fits. :)
>
> On Wed, Mar 30, 2016 at 6:37 PM, uurtamo . wrote:
>
>> This is clearly the
I don't think djhbrown is a software engineer. And he seems to have the
most fits. :)
On Wed, Mar 30, 2016 at 6:37 PM, uurtamo . wrote:
> This is clearly the alphago final laugh; make an email list responder to
> send programmers into fits.
>
> s.
> On Mar 30, 2016 4:16 PM,
This is clearly the alphago final laugh; make an email list responder to
send programmers into fits.
s.
On Mar 30, 2016 4:16 PM, "djhbrown ." wrote:
> thank you very much Ben for sharing the inception work, which may well
> open the door to a new avenue of AI research. i am
thank you very much Ben for sharing the inception work, which may well
open the door to a new avenue of AI research. i am particularly
impressed by one pithy statement the authors make:
"We must go deeper: Iterations"
i remember as an undergrad being impressed by the expressive power of
ing into DTs is advisable.
>
>
>
> Best,
>
> Brian
>
>
>
>
>
> *From:* Computer-go [mailto:computer-go-boun...@computer-go.org] *On
> Behalf Of *Jim O'Flaherty
> *Sent:* Wednesday, March 30, 2016 4:24 PM
> *To:* computer-go@computer-go.org
> *Subject
, then looking into DTs is advisable.
Best,
Brian
From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of Jim
O'Flaherty
Sent: Wednesday, March 30, 2016 4:24 PM
To: computer-go@computer-go.org
Subject: Re: [Computer-go] new challenge for Go programmers
I agree, "c
It would be very interesting to see what these go playing neural
networks dream about [1]. Admittedly it does not explain any specific
moves the AI does - but it might show some interesting patterns that are
encoded in the NN and might even give some insight into "how the NN
thinks".
Put
I agree, "cannot" is too strong. But, values close enough to "extremely
difficult as to be unlikely" is why I used it.
On Mar 30, 2016 11:12 AM, "Robert Jasiek" wrote:
> On 30.03.2016 16:58, Jim O'Flaherty wrote:
>
>> My own study says that we cannot top down include "English
On 30 Mar 2016, at 03:04, djhbrown . wrote:
>
> as to preconceived notions, my own notions are postconceived, having
> studied artificial intelligence and biological computation over 40
> post-doctoral years during which i have published 50 or so
> peer-reviewed scientific
djhbrown,
Even from a pure playing stronger perspective, it is not game over yet
because there is no guarantee yet for always avoiding sudden entering of
holes of bad play, verification by reading is missing and there is no
optimisation for better score when winning the game anyway. For other
On 30.03.2016 16:58, Jim O'Flaherty wrote:
My own study says that we cannot top down include "English explanations" of
how the ANNs (Artificial Neural Networks, of which DCNN is just one type)
arrive a conclusions.
"cannot" is a strong word. I would use it only if it were proven
My own study says that we cannot top down include "English explanations" of
how the ANNs (Artificial Neural Networks, of which DCNN is just one type)
arrive a conclusions. If you want to translate the computational value of
an ANN into something other than the essential operation that it is
I fully agree with Goncalo that it would be worth investigating how
one could write an algorithm to express in English what Alpha's or
DCNNigo's nets
have learned, and a month ago (before her astonishing achievement in
March) offerred some ideas on how this might be approached in a
youtube comment
Come on let's all calm down please. :)
David I think the great challenge is in having good insight with AlphaGo
strength. Many Faces already provides some textual move suggestions, as
do probably other programs. Any program that doesn't use exclusively
machine learning or global search, like GNU
> no lack of respect for DeepMind's achievement was contained in my
> posting; on the contrary, i was as surprised as anyone at how well she
> did and it gave me great pause for thought.
>
Well, you wrote this:
> but convolutional neural networks and monte-carlo simulators have not
> advanced
one has to expect a certain amount of abuse when going public, and to
expect that eager critics will misrepresent what was said.
no lack of respect for DeepMind's achievement was contained in my
posting; on the contrary, i was as surprised as anyone at how well she
did and it gave me great pause
Your lack of respect for task performance is misguided imo. Your
preconceived notions of what intelligence is, will lead you astray.
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now that alpha rules the world, the usual suspects throng of
plagiarising copyycat psychopath serial killers are already busy
cloning her, but there is a faint chance that there may also be some
subscribers to this list who would like to contribute/investigate
something to/in AI by way of
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