翻譯Deep Learning and the Game of Go（1）緒論部分
關於這本書 這本書旨在通過一個實用而有趣的例子來引入機器學習：構建一個圍棋人工智能。到第三章結束，你將能做出一個可以運行的圍棋程序，即使它還比較弱。從第三章結束開始，之後的每一章都會介紹新的方法去改進你的AI, 你可以通過實驗學習到每種技術的優點和缺點，到最後一章時，你的AI會達到最強，在那一章我們會展示AlphaGo和AlphaGo Zero是如何將所有技術整合到一起變成不可思議的強大AI 誰應
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- 2. Mastering the game of Go with deep neural networks and tree search (AlphaGo)
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- 6. 【論文翻譯】Deep Residual Learning for Image Recognition
- 7. 【論文翻譯】Deep residual learning for image recognition
- 8. 【譯】The challenge of verification and testing of machine learning
- 9. 翻譯Deep Learning and the Game of Go（3）第2章：圍棋是一個機器學習難題（規則部分就不翻了）
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相關文章
- 1. 《master the game of GO wtth deep neural networks and tree search》研究解讀
- 2. Mastering the game of Go with deep neural networks and tree search (AlphaGo)
- 3. Mastering the game of Go without human knowledge譯文
- 4. Mastering the game of Go with deep neural networks and tree search 概括
- 5. Deep Learning, NLP, and Representations翻譯學習
- 6. 【論文翻譯】Deep Residual Learning for Image Recognition
- 7. 【論文翻譯】Deep residual learning for image recognition
- 8. 【譯】The challenge of verification and testing of machine learning
- 9. 翻譯Deep Learning and the Game of Go（3）第2章：圍棋是一個機器學習難題（規則部分就不翻了）
- 10. Pros and Cons of Game Based Learning