Book Image

What's New in TensorFlow 2.0

By : Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal
Book Image

What's New in TensorFlow 2.0

By: Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal

Overview of this book

TensorFlow is an end-to-end machine learning platform for experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow features. What's New in TensorFlow 2.0 starts by focusing on advanced concepts such as the new TensorFlow Keras APIs, eager execution, and efficient distribution strategies that help you to run your machine learning models on multiple GPUs and TPUs. The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. You'll explore the process of building an inference pipeline using TF Serving and other multi-platform deployments before moving on to explore the newly released AIY, which is essentially do-it-yourself AI. This book delves into the core APIs to help you build unified convolutional and recurrent layers and use TensorBoard to visualize deep learning models using what-if analysis. By the end of the book, you'll have learned about compatibility between TF 2.0 and TF 1.x and be able to migrate to TF 2.0 smoothly.
Table of Contents (13 chapters)
Title Page

Migrating From TensorFlow 1.x to 2.0

This chapter will cover how you can convert TensorFlow 1.x (TF 1.x) code into TensorFlow 2.0 (TF 2.0) code in two ways. The first method is to use the update script, which changes most of the TF 1.x code so that it can run in TF 2.0. This, however, simply converts all tf.x API calls into tf.compat.v1.x format. The other method is to convert TF 1.x code into idiomatic TF2.0 code by taking into account the core changes that have been made to the library. We will discuss the conceptual differences between TF 1.x and TF 2.0, the compatibility criteria between them, and the ways we can migrate syntactically and semantically. We will also show several examples of syntactic and semantic migration from TF 1.x to TF 2.0, with which we will provide references and future information.

The following topics will be covered in this chapter:

  • Major changes...