[Computer-go] Last move info as features

> From: Stefan Kaitschick > ... > Last move info is a strange beast, isn't it? I mean, except for ko > captures, it doesn't really add information to the position. The correct > prediction rate is such an obvious metric, but maybe prediction shouldn't > be impr

Re: [Computer-go] Fuego 1.1 vs current Fuego

Hello Hiroshi, we want to release a version 2.0. There is still some clean-up work to do for a release and progress is slow. But there is progress :) https://sourceforge.net/p/fuego/tickets/ Martin > I also wonder Fuego could release latest

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

Whilst its technically true that you can use an nn with one hidden layer to learn the same function as a deeper net, you might need a combinatorally large number of nodes :-) "scaling learning algorithms towards ai", by bengio and lecunn, 2007, makes a convincing case along these lines.  _

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

A 3-layer network (input, hidden, output) is sufficient to be a universal function approximator, so from a theoretical perspective only 3 layers are necessary. But the gap between theoretical and practical is quite large. The CNN architecture builds in translation invariance and sensitivity t

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

I thought that any layers beyond 3 were irrelevant. Probably I'm subsuming your nn into what I learned about nn's and didn't read anything carefully enough. Can you help correct me? s. On Dec 23, 2014 6:47 AM, "Aja Huang" wrote: > On Mon, Dec 22, 2014 at 12:38 PM, David Silver > wrote: >> >> w

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

Hiroshi Yamashita: <37E4294EAD9142EA84D1031F3E1E9C7C@x60>: >Hi Aja, > >Thanks for a game and report. >I saw sgf, CNN can play ko fight. great. > >> our best CNN is about 220 to 310 Elo stronger which is consistent > >Deeper network and rich info makes +300 Elo? impressive. >Aja, if your CNN+MCTS us

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

Hi Aja, Thanks for a game and report. I saw sgf, CNN can play ko fight. great. our best CNN is about 220 to 310 Elo stronger which is consistent Deeper network and rich info makes +300 Elo? impressive. Aja, if your CNN+MCTS use Erica's playout, how strong will it be? I think it will be conten