TensorFlow 2.0: Pocket Primer

  • 3h 42m
  • Oswal Campesato
  • Mercury Learning
  • 2020

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. 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 with Amazon order number by writing to info@merclearning.com.


  • Uses Python for code samples
  • Covers TensorFlow 2 APIs and Datasets
  • Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs

About the Author

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

In this Book

  • Introduction to Tensorflow 2
  • Useful TF 2 APIs
  • TF 2 Datasets
  • Linear Regression
  • Working with Classifiers