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Paperback
September 2019
9781683924609
More details
- Publisher
Mercury Learning and Info - ISBN 9781683924609
- Language English
- Pages 200 pp.
- Size 6" x 9"
$35.95
E-Book
September 2019
9781683924593
More details
- Publisher
Mercury Learning and Info - ISBN 9781683924593
- Language English
- Pages 200 pp.
- Size 6" x 9"
$27.95
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September 2019
9781683924616
More details
- Publisher
Mercury Learning and Info - ISBN 9781683924616
- Language English
- Pages 200 pp.
- Size 6" x 9"
$99.95
As part of the best-selling Pocket Primer
series, this book provides an overview of the major concepts to program using
TensorFlow 2. The focus of this book is on basic programming instructions used
in machine learning and deep learning. Includes companion files with source code (in Python) and figures.
Features:
- Provides an overview of the most important TensorFlow programming techniques used for machine learning, deep learning, linear and logical regression, etc.
- Covers TensorFlow 2 and previous versions that run with TF2
- Includes companion files with source code (in Python) and figures.
1: Introduction to TF 2
2: TF 2 APIs
3: TF 2 Datasets
4: Linear Regression
5: Working with Classifiers
Appendix: TF2, Keras, and Advanced Topics
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).