Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
暫譯: 學習 TensorFlow 2.0：使用 Python 實作機器學習與深度學習模型

Singh, Pramod, Manure, Avinash

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
  • 出版商: Apress
  • 出版日期: 2020-01-05
  • 售價: $1,760
  • 貴賓價: 9.5 折 $1,672
  • 語言: 英文
  • 頁數: 164
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484255607
  • ISBN-13: 9781484255605
  • 相關分類: Python、程式語言、DeepLearning、TensorFlow、Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.
The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters.
You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways.
What You'll Learn

  • Review the new features of TensorFlow 2.0
  • Use TensorFlow 2.0 to build machine learning and deep learning models
  • Perform sequence predictions using TensorFlow 2.0
  • Deploy TensorFlow 2.0 models with practical examples


Who This Book Is For

Data scientists, machine and deep learning engineers.

 

商品描述(中文翻譯)

學習如何使用 TensorFlow 2.0 建立機器學習和深度學習模型，並提供完整的範例。
本書首先介紹 TensorFlow 2.0 框架及其上個版本的主要變更。接著，重點在於使用 TensorFlow 2.0 建立監督式機器學習模型。它還展示了如何使用客製化估算器來建立模型。此外，還解釋了如何使用 TensorFlow 2.0 API 來建立圖像分類的機器學習和深度學習模型，使用標準參數和自訂參數。
您將回顧序列預測、儲存、服務、部署和標準化數據集，然後將這些模型部署到生產環境中。本書中提供的所有程式碼將以可執行腳本的形式在 GitHub 上提供，讓您可以嘗試範例並以有趣的方式擴展它們。
**您將學到的內容**

- 回顧 TensorFlow 2.0 的新功能
- 使用 TensorFlow 2.0 建立機器學習和深度學習模型
- 使用 TensorFlow 2.0 執行序列預測
- 使用實際範例部署 TensorFlow 2.0 模型

**本書適合誰閱讀**
數據科學家、機器學習和深度學習工程師。

作者簡介

Pramod Singh is currently playing a role of Machine Learning Expert at Walmart Labs. He has extensive hands-on experience in machine learning, deep learning, AI, data engineering, designing algorithms and application development. He has spent more than 10 years working on multiple data projects at different organizations. He's the author of three books -Machine Learning with PySpark, Learn PySpark and Learn TensorFlow 2.0. He is also a regular speaker at major conferences such as O'Reilly's Strata and AI conferences. Pramod holds a BTech in electrical engineering from B.A.T.U, and an MBA from Symbiosis University. He has also done Data Science certification from IIM-Calcutta. He lives in Bangalore with his wife and three-year-old son. In his spare time, he enjoys playing guitar, coding, reading, and watching football.

 


Avinash Manure is a Senior Data Scientist at Publicis Sapient with over 8 years of experience in solving real-world business challenges using Data. He is proficient in deploying complex machine learning and statistical modeling algorithms/techniques for identifying patterns and extracting valuable insights for key stakeholders and organizational leadership.

 

Avinash holds a bachelor's degree in Electronics Engineering from Mumbai University and has done his Master's in Business Administration (Marketing) from University of Pune. He is currently settled in Bangalore with his wife. He enjoys travelling to new places and reading motivational books.

作者簡介(中文翻譯)

Pramod Singh 目前在 Walmart Labs 擔任機器學習專家。他在機器學習、深度學習、人工智慧、數據工程、算法設計和應用開發方面擁有豐富的實務經驗。他在不同的組織中從事多個數據項目已有超過 10 年的時間。他是三本書的作者——《Machine Learning with PySpark》、《Learn PySpark》和《Learn TensorFlow 2.0》。他也是 O'Reilly 的 Strata 和 AI 會議等主要會議的常規演講者。Pramod 擁有 B.A.T.U 的電機工程學士學位，以及 Symbiosis University 的 MBA 學位。他還在 IIM-Calcutta 獲得了數據科學認證。他與妻子和三歲的兒子住在班加羅爾。在空閒時間，他喜歡彈吉他、編程、閱讀和看足球。

Avinash Manure 是 Publicis Sapient 的高級數據科學家，擁有超過 8 年的經驗，專注於使用數據解決現實世界的商業挑戰。他擅長部署複雜的機器學習和統計建模算法/技術，以識別模式並為主要利益相關者和組織領導層提取有價值的見解。

Avinash 擁有孟買大學的電子工程學士學位，並在普納大學獲得了工商管理碩士學位（市場營銷）。他目前與妻子定居在班加羅爾。他喜歡旅行到新地方和閱讀勵志書籍。

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