Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Santanu Pattanayak

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商品描述

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.
 
Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures.
 
All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways.
 
You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. 
 
What You'll Learn
  • Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning
  • Deploy complex deep learning solutions in production using TensorFlow
  • Carry out research on deep learning and perform experiments using TensorFlow
Who This Book Is For
 
Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts

商品描述(中文翻譯)

使用TensorFlow輕鬆部署深度學習解決方案,並開發數學理解和直覺,以便自行創造新的深度學習架構和解決方案。

《Pro Deep Learning with TensorFlow》提供實用的實戰經驗,讓您可以從頭開始學習深度學習並部署有意義的深度學習解決方案。本書將使您能夠快速上手使用TensorFlow並優化不同的深度學習架構。

本書強調了在任何行業中都相關的深度學習的實用方面。您將能夠使用書中演示的原型來構建新的深度學習應用程序。書中提供的代碼以iPython筆記本和腳本的形式提供,讓您可以嘗試示例並以有趣的方式擴展它們。

您將具備數學基礎和科學知識,以從事該領域的研究並回饋社區。

《你將學到什麼》

- 使用TensorFlow了解全棧深度學習,並獲得堅實的深度學習數學基礎
- 使用TensorFlow在生產環境中部署複雜的深度學習解決方案
- 使用TensorFlow進行深度學習研究並進行實驗

《本書適合對象》

- 數據科學家和機器學習專業人士、軟件開發人員、研究生和開源愛好者