AlphaGo是如何煉成的：解讀論文 "Mastering the game of Go with deep neural networks and tree search"
這篇發表在nature 2016年1月27日上的文章題目爲："Mastering the game of Go with deep neural networks and tree search"來自Google deep mind，它闡述了AlphaGo的模型過程和訓練方法，讓咱們對這篇論文進行解讀，看看爲什麼AlphaGo能夠成爲迄今最強大的圍棋對弈程序吧。html 論文地址爲：Masteri
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- 1. AlphaGo是如何煉成的：解讀論文 "Mastering the game of Go with deep neural networks and tree search"
- 2. Mastering the game of Go with deep neural networks and tree search (AlphaGo)
- 3. Mastering the game of Go with deep neural networks and tree search 概括
- 4. 《master the game of GO wtth deep neural networks and tree search》研究解讀
- 5. Mastering the game of Go without human knowledge譯文
- 6. AlphaGo論文的譯文，用深度神經網絡和樹搜索征服圍棋：Mastering the game of Go with deep neural networks and tree search
- 7. Mastering the game of Go without human knowledge (AlphaGo Zero)
- 8. 【論文翻譯】Mastering the game of Go with deep neural networks and tree search( 用深度神經網絡和樹搜索實現圍棋遊戲)
- 9. 【AlphaGo】【論文閱讀】
- 10. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search中文譯文
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相關文章
- 1. AlphaGo是如何煉成的：解讀論文 "Mastering the game of Go with deep neural networks and tree search"
- 2. Mastering the game of Go with deep neural networks and tree search (AlphaGo)
- 3. Mastering the game of Go with deep neural networks and tree search 概括
- 4. 《master the game of GO wtth deep neural networks and tree search》研究解讀
- 5. Mastering the game of Go without human knowledge譯文
- 6. AlphaGo論文的譯文，用深度神經網絡和樹搜索征服圍棋：Mastering the game of Go with deep neural networks and tree search
- 7. Mastering the game of Go without human knowledge (AlphaGo Zero)
- 8. 【論文翻譯】Mastering the game of Go with deep neural networks and tree search( 用深度神經網絡和樹搜索實現圍棋遊戲)
- 9. 【AlphaGo】【論文閱讀】
- 10. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search中文譯文