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Learn TensorFlow 2.0

Implement Machine Learning and Deep Learning Models with Python

Authors: Singh, Pramod, Manure, Avinash

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  • Covers the transition from TensorFlow 1.0  to TensorFlow 2.0
  • Covers advanced techniques such as GANs and transfer learning
  • Covers deployment of TensorFlow 2.0 based machine learning and deep learning models to production
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eBook 22,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5558-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 29,11 €
price for Spain (gross)
  • ISBN 978-1-4842-5560-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

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.

Table of contents (6 chapters)

Table of contents (6 chapters)
  • Introduction to TensorFlow 2.0

    Pages 1-24

    Singh, Pramod (et al.)

  • Supervised Learning with TensorFlow

    Pages 25-52

    Singh, Pramod (et al.)

  • Neural Networks and Deep Learning with TensorFlow

    Pages 53-74

    Singh, Pramod (et al.)

  • Images with TensorFlow

    Pages 75-106

    Singh, Pramod (et al.)

  • Natural Language Processing with TensorFlow 2.0

    Pages 107-129

    Singh, Pramod (et al.)

Buy this book

eBook 22,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5558-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 29,11 €
price for Spain (gross)
  • ISBN 978-1-4842-5560-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Learn TensorFlow 2.0
Book Subtitle
Implement Machine Learning and Deep Learning Models with Python
Authors
Copyright
2020
Publisher
Apress
Copyright Holder
Pramod Singh, Avinash Manure
eBook ISBN
978-1-4842-5558-2
DOI
10.1007/978-1-4842-5558-2
Softcover ISBN
978-1-4842-5560-5
Edition Number
1
Number of Pages
XVI, 164
Number of Illustrations
126 b/w illustrations
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.