Re: [computer-go] post

For true beginners: http://playgo.to/interactive/ Janice Kim's 5 book series at http://samarkand.net/ Or play online (KGS has a good english community): http://www.gokgs.com/ On 12/2/06, Mike Olsson [EMAIL PROTECTED] wrote: I am looking for tutorials and articles on the web to learn go.

Re: [computer-go] open source Go AI's written in pure python

We'll be the judges of that niceelegant bit ;) I think using the ease of python to get started with algorithms and then later pushing the performance critical sections to C and wrapping with SWIG is a great idea. On 5/25/07, Eduardo Sabbatella [EMAIL PROTECTED] wrote: No, but soon I will

Re: [Computer-go] Using GPUs?

Can't speak to current go programs, but there's lots of exciting stuff going on currently with machine learning / deep neural networks, most of which uses GPUs heavily. I know some research has been done on convolutional neural networks for Go -- don't have any links handy at the moment though.

Re: [Computer-go] Mental Imagery in Go - playlist

RE: CNNs: They can be, and have been, successfully applied to movies as well. See http://www.cs.cmu.edu/~rahuls/pub/cvpr2014-deepvideo-rahuls.pdf Also, in the first .pdf I linked you, the input layer has a notion of age of the stones. For example, this stone was played 5 moves ago, this one 3

Re: [Computer-go] Using GPUs?

Here are the papers I was thinking of: http://arxiv.org/abs/1412.6564 (nvidia gtx titan black) http://arxiv.org/abs/1412.3409 (nvidia gtx 780) On Fri, Jun 26, 2015 at 2:09 AM, Nikos Papachristou nikp...@gmail.com wrote: Not go related, but you may find this deep learning GPU hardware guide

Re: [Computer-go] Fwd: mental imagery in Go

Not sure how deep down the rabbit hole you want to go, but you might want to take a look at convolutional neural networks and their applicability to go, e.g.: http://arxiv.org/abs/1412.6564 They are used ubiquitously for image classification and object detection, but people are looking at tying

Re: [Computer-go] Standard Computer Go Datasets - Proposal

To answer the original question: yes, the curation of a dataset like this would be hugely beneficial to the community. Look at what ImageNet has done for computer vision. In fact, it might be good to emulate ImageNet further and pre-split the dataset into a publicly-available training set, and a

Re: [Computer-go] Go Aesthetics

It's an inherently subjective thought-exercise -- ask 10 different players and you will get 10 different ideas of what constitutes beauty. I'm not even sure I agree with the metrics proposed in http://www.wseas.us/e-library/transactions/computers/2008/26-184.pdf for chess -- why is it inherently

Re: [Computer-go] AlphaGo selfplay 3 games

My interpretation is that all variations are from AlphaGo, whereas the human pros are just weighing in on those. Hence you will see the pros "approve of this variation" or "express doubts" about it. On Thu, Sep 15, 2016 at 11:04 AM, Darren Cook wrote: > > DeepMind published

Re: [Computer-go] Alphago and solving Go

truly excels. (AlphaGo also excels at whole board evaluation, but > that is a separate topic.) > > > > > > *From:* Steven Clark [mailto:steven.p.cl...@gmail.com] > *Sent:* Sunday, August 6, 2017 1:14 PM > *To:* Brian Sheppard <sheppar...@aol.com>; computer-go < > compu

Re: [Computer-go] Alphago and solving Go

Why do you say AlphaGo is brute-force? Brute force is defined as: "In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique that consists of *systematically enumerating all possible candidates* for the solution and

Re: [Computer-go] Alphago and solving Go

No (have you read any of the papers about it?) No We don't know We don't know (pros used to claim they were 2-3 stones away from God, but AlphaGo might have encouraged them to be a bit more humble) On Sun, Aug 6, 2017 at 9:49 AM, Cai Gengyang wrote: > Is Alphago brute

Re: [Computer-go] Breakthrough: FineArt beating Ke Jie with 2 Handicap Stones

Not according to this: http://eidogo.com/#EUexCx07 via reddit On Sun, Jan 21, 2018 at 11:54 AM, Jim O'Flaherty wrote: > So the AI FineArt is assumed to have taken black with a two stone handicap? > > On Jan 21, 2018 9:41 AM, "Michael Alford"

Re: [Computer-go] Exploiting Cyclic Symmetry in Convolutional Neural Networks

See also: Oriented Response Networks https://arxiv.org/abs/1701.01833 On Wed, Feb 28, 2018 at 11:40 AM, Jonathan Roy wrote: > I'm curious if anyone has applied this idea in their Go software, and what > results you obtained? It is a way to make rotations (and transpositions >