Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python Front Cover
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2020-03-15
195 pages

Book Description

Learn how to use TensorFlow 2.0 to build and deep learning with complete examples.
The book begins with introducing TensorFlow 2.0 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 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 presented in the book will be available in the form of executable scripts at 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.

Book Details

  • Title: Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
  • Author: ,
  • Length: 195 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2020-03-15
  • ISBN-10: 1484255577
  • ISBN-13: 9781484255575
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