Pocket Primer Series Read Description

TensorFlow Pocket Primer

Paperback
June 2019
9781683923640
More details
  • Publisher
    Mercury Learning & Information
  • Published
    3rd June
  • ISBN 9781683923640
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$34.95
E-Book
May 2019
9781683923657
More details
  • Publisher
    Mercury Learning & Information
  • Published
    9th May
  • ISBN 9781683923657
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$21.95
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May 2019
9781683923664
More details
  • Publisher
    Mercury Learning & Information
  • Published
    9th May
  • ISBN 9781683923664
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$99.95

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)

1: Introduction to TensorFlow

2: Useful TensorFlow APIs

3: TensorFlow Datasets

4: Linear Regression

5: Logistic Regression 

On The Companion Files!

(available from the publisher for downloading by writing to info@merclearning.com)

  • Source code samples
  • Figures

Oswald Campesato

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).