Crazy Stone 2016 Deep Learning 確實有 7D 棋力 - 圍棋
By Isla
at 2016-07-04T22:21
at 2016-07-04T22:21
Table of Contents
這兩天拿到了狂石 Crazy Stone 2016 Deep Learning First Edition,號稱為 KGS 7D 棋力。
本來是沒那麼相信真有 KGS 7D?!
與 狂石2016 對奕,先 "隨意" 下了四盤棋。嗯,全敗!! 而且中盤大龍全被砍掉。
(因為輸得太難看,就不存檔了,它是可以儲存成 .sgf 的。)
好歹個人也是 Oro 7D、野狐 6D,雖然不算認真下,但我非常驚訝它局部的細算力,相當強。
拿給我國內強6D的朋友,他可以讓 一般6D 三子還贏得相當輕鬆。先前他才與狂石 2013 版本讓三子對奕全贏。
結果這次他讓兩子對狂石2016,也是輸!
底下是關於狂石2016 的簡介,號稱已運用深度類神經網絡學習技術。
Crazy Stone has made a huge step forward by combining Deep Neural Networks
with Monte Carlo Tree Search.
The new Crazy Stone employs Deep Convolutional neural networks as a
replacement for the pattern database and has produced a significant
improvement in strength. The new program has scored a winning rate of over
90% against the previous program Crazy Stone 2013! We have provided 20 levels
of play (13k-7d) for all the board sizes.CrazyStone has improved not only in
strength, but also in his style of play and the lower levels are perfect for
the average players.
--
本來是沒那麼相信真有 KGS 7D?!
與 狂石2016 對奕,先 "隨意" 下了四盤棋。嗯,全敗!! 而且中盤大龍全被砍掉。
(因為輸得太難看,就不存檔了,它是可以儲存成 .sgf 的。)
好歹個人也是 Oro 7D、野狐 6D,雖然不算認真下,但我非常驚訝它局部的細算力,相當強。
拿給我國內強6D的朋友,他可以讓 一般6D 三子還贏得相當輕鬆。先前他才與狂石 2013 版本讓三子對奕全贏。
結果這次他讓兩子對狂石2016,也是輸!
底下是關於狂石2016 的簡介,號稱已運用深度類神經網絡學習技術。
Crazy Stone has made a huge step forward by combining Deep Neural Networks
with Monte Carlo Tree Search.
The new Crazy Stone employs Deep Convolutional neural networks as a
replacement for the pattern database and has produced a significant
improvement in strength. The new program has scored a winning rate of over
90% against the previous program Crazy Stone 2013! We have provided 20 levels
of play (13k-7d) for all the board sizes.CrazyStone has improved not only in
strength, but also in his style of play and the lower levels are perfect for
the average players.
--
Tags:
圍棋
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