圖書標籤: 深度學習  人工智能  機器學習  計算機  計算機科學  Python  原版  Learning   

喜歡 Grokking Deep Learning 的讀者還喜歡

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  Make Your Own Neural Network pdf epub mobi txt 電子書 下載
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  Data Analysis with Open Source Tools pdf epub mobi txt 電子書 下載
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  Microservice Patterns pdf epub mobi txt 電子書 下載
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  Data Structures and Algorithms in Python pdf epub mobi txt 電子書 下載
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  Python Algorithms pdf epub mobi txt 電子書 下載
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  Data Science at the Command Line pdf epub mobi txt 電子書 下載
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  Hands-On Machine Learning with Scikit-Learn and TensorFlow pdf epub mobi txt 電子書 下載
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  The Vital Question pdf epub mobi txt 電子書 下載
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  Python for Data Analysis pdf epub mobi txt 電子書 下載
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  Building Machine Learning Systems with Python pdf epub mobi txt 電子書 下載

非常牛的一本書。

非常棒。最簡單最基礎最需要謹慎的思考，這事關建立優秀的直覺.看到後麵突然驚覺，DL書包括本書都用到error這個詞，而 這個詞實際是嚴重誤導瞭讀者，我給取個更好的詞， “How far left if I were to reach the target”， 簡稱“left“；input 和weight 本質上是對稱的， forward propagation 與 back propagationyi'以及後麵修改weight過程實際上非常符閤人類的生活經驗：微微鏇動weight鏇鈕，input越大，到達target越快；微微鏇動input 鏇鈕， weight 越大到底target 越快，當然不可能鏇動中間層input，我們可以鏇動該層前麵的weigh。後麵教做framework太用心瞭

讀瞭前九章，看瞭書評決定不讀後麵的瞭。

This book helps to grasp some basic math concepts that under the hood of neural networks for those without classical math background. However, for me, some concepts and code are misconstructed and explained superficially. Comparing with this book, I recommend Make Your Own Neural Network written by Andrew Trask to deep learning beginners.

This book helps to grasp some basic math concepts that under the hood of neural networks for those without classical math background. However, for me, some concepts and code are misconstructed and explained superficially. Comparing with this book, I recommend Make Your Own Neural Network written by Andrew Trask to deep learning beginners.