AlphaGo是如何炼成的：解读论文 "Mastering the game of Go with deep neural networks and tree search"
这篇发表在nature 2016年1月27日上的文章题目为："Mastering the game of Go with deep neural networks and tree search"来自Google deep mind，它阐述了AlphaGo的模型过程和训练方法，让咱们对这篇论文进行解读，看看为什么AlphaGo能够成为迄今最强大的围棋对弈程序吧。html 论文地址为：Masteri
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- 1. AlphaGo是如何炼成的：解读论文 "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》研究解读
- 5. Mastering the game of Go without human knowledge译文
- 6. AlphaGo论文的译文，用深度神经网络和树搜索征服围棋：Mastering the game of Go with deep neural networks and tree search
- 7. Mastering the game of Go without human knowledge (AlphaGo Zero)
- 8. 【论文翻译】Mastering the game of Go with deep neural networks and tree search( 用深度神经网络和树搜索实现围棋游戏)
- 9. 【AlphaGo】【论文阅读】
- 10. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search中文译文
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相关文章
- 1. AlphaGo是如何炼成的：解读论文 "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》研究解读
- 5. Mastering the game of Go without human knowledge译文
- 6. AlphaGo论文的译文，用深度神经网络和树搜索征服围棋：Mastering the game of Go with deep neural networks and tree search
- 7. Mastering the game of Go without human knowledge (AlphaGo Zero)
- 8. 【论文翻译】Mastering the game of Go with deep neural networks and tree search( 用深度神经网络和树搜索实现围棋游戏)
- 9. 【AlphaGo】【论文阅读】
- 10. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search中文译文