AlphaCode Attention Visualization. Hover over tokens in the solution to see which tokens the model attended to when generating the solution. Click a token to select it; clicking in empty space will deselect.

Explore how moves played by AlphaGo compare to those of professional and amateur players. This tool provides analysis of thousands of the most popular opening sequences from the recent history of Go, using data from 231,000 human games and 75 games that DeepMind's AlphaGo played against human players

This work shows how models like Ithaca can unlock the cooperative potential between AI and historians, transformationally impacting the way we study and write about one of the most significant periods in human history.

主页; 关于. 关于 WGo.js player 2.0; 关于 DeepMind AlphaGo; 感谢. 6,000 种开局变化来自于 超过 230,000 盘人类对局: 来自 Go4Go 的 65,000 局职业比赛 (1980-2017) 来自 GoBase 的 36,000 局职业比赛 (1960-1990) 野狐围棋 的 130,000 盘野狐围棋9段棋手对局; 75 盘 AlphaGo 与人类棋手对 …

首頁; 關於. 關於WGo.js player 2.0; 關於DeepMind AlphaGo; 感謝. 6,000 種開局變化來自於 超過 230,000 盤人類對局: Go4Go 的 65,000 局職業比賽 (1980-2017) GoBase 的 36,000 局職業比賽 (1960-1990) 野狐圍棋 的 130,000 盤野狐圍棋9段棋手對局; 75 盤 AlphaGo 與人類棋手對局 (前 30 …

AlphaGo と棋士たちの手を比較してみましょう。このツールは、よくある序盤パターンを、人同士が打った 231,000 局と、DeepMind 開発の AlphaGo が人と対局した 75 局の棋譜データから分析することができます。

알파고의 수들이 프로 및 아마 강자의 수들과 어떻게 다른지 알아보세요. 이 툴은 총 231,000판의 사람 간 대국과 딥마인드 알파고의 대국 75판을 분석해 선별한 가장 많이 두어진 포석 수 천가지의 연구 결과를 제공합니다