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Campesato, Oswald TensorFlow Pocket Primer ISBN 13: 9781683923640

TensorFlow Pocket Primer - Softcover

 
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Synopsis

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to info@merclearning.com. 

Features:

  • Uses Python for code samples
  • Covers TensorFlow APIs and Datasets
  • Assumes the reader has very limited experience
  • Companion files with all of the source code examples (download from the publisher)

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About the Author

Oswald Campesato (San Francisco, CA) specializes in Data Cleaning, Java, Android, and CSS3/SVG graphics. He is the author/co-author of over twenty-five books including Android Pocket Primer, Angular4 Pocket Primer, and the Python Pocket Primer (Mercury Learning).

"About this title" may belong to another edition of this title.

  • PublisherMercury Learning and Information
  • Publication date2019
  • ISBN 10 1683923642
  • ISBN 13 9781683923640
  • BindingPerfect Paperback
  • LanguageEnglish
  • Edition number1
  • Number of pages152

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