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TensorFlow 2.0 New Features

Video Description

Understanding TensorFlow 2.0's new features

About This Video

  • New features and functionality explained simply and easily via videos.
  • Code demos and examples help you understand how the new features work
  • Understand the differences between TensorFlow 1.x and 2.0, and how they're compatible

In Detail

TensorFlow is a popular and widely-adopted open-source Machine Learning library. It is Python-friendly and used in various AI areas such as deep learning, numeric computation, and large-scale Machine Learning. The newest version of TensorFlow includes major highlights such as improved eager execution, improved compatibility, support for major platforms and languages, and more; it also removes deprecated APIs. The new features will make TensorFlow easier to learn and apply.

In this course, you will cover all of the new features that have been introduced in TensorFlow 2.0 especially the major highlight including Eager Execution and more. You will learn how to make the best use of these features and how it improves and simplifies the way you use TensorFlow.

By the end of the course, you will have an understanding of the new features introduced in TensorFlow 2.0 and will be able to apply them in your work.

Downloading the example code for this course: You can download the example code files for all Packt video courses you have purchased from your account at http://www.PacktPub.com. If you purchased this course elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.