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.

Related Content you might be interested in

Current Title:

Small book image
What's New in TensorFlow 2.0
Ajay Baranwal | Alizishaan Khatri | Tanish Baranwal
Aug, 2019 | 202 pages
Small book image
Hands-On Neural Networks with TensorFlow 2.0
Paolo Galeone
Sep, 2019 | 358 pages
Small book image
TensorFlow 2.0 Quick Start Guide
Tony Holdroyd
Mar, 2019 | 196 pages
Small book image
Machine Learning Using TensorFlow Cookbook
Alexia Audevart | Konrad Banachewicz | Luca Massaron
Feb, 2021 | 416 pages
Table of Contents (13 chapters)
Title Page
Title Page
Copyright and Credits
Copyright and Credits
What's New in TensorFlow 2.0
Contributors
Contributors
About the authors
About the reviewers
Packt is searching for authors like you
About Packt
About Packt
Why subscribe?
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Getting Started with TensorFlow 2.0
Getting Started with TensorFlow 2.0
Technical requirements
What's new?
TF 2.0 installation and setup
Using TF 2.0
Rich extensions
Summary
2
Keras Default Integration and Eager Execution
Keras Default Integration and Eager Execution
Technical requirements
New abstractions in TF 2.0
Diving deep into the Keras API
Estimators
Evaluating TensorFlow graphs
Summary
3
Designing and Constructing Input Data Pipelines
Designing and Constructing Input Data Pipelines
Technical requirements
Designing and constructing the data pipeline
Transforming datasets
Feeding the created dataset to the model
Examples of complete end-to-end data pipelines
Best practices and the performance optimization of a data pipeline in TF 2.0 
Built-in datasets in TF 2.0
Summary
Further reading
4
Model Training and Use of TensorBoard
Model Training and Use of TensorBoard
Technical requirements
Comparing Keras and tf.keras
Creating models using tf.keras 2.0
Model compilation and training
Custom training logic
Distributed training
TensorBoard
Summary
Questions
Further reading
5
Model Inference Pipelines - Multi-platform Deployments
Model Inference Pipelines - Multi-platform Deployments
Technical requirements
Machine learning workflow – the inference phase
Model artifact – the SavedModel format
Inference on backend servers
Inference in the browser
Inference on mobile and IoT devices
Summary
6
AIY Projects and TensorFlow Lite
AIY Projects and TensorFlow Lite
Introduction to TFLite
Getting started with TFLite
Running TFLite on mobile devices
Running TFLite on low-power machines
Comparing TFLite and TF
AIY
Summary
7
Migrating From TensorFlow 1.x to 2.0
Migrating From TensorFlow 1.x to 2.0
Major changes in TF 2.0
Recommended techniques to employ for idiomatic TF 2.0
Making code TF 2.0-native
Frequently asked questions
The future of TF 2.0
Summary
Other Books You May Enjoy
Other Books You May Enjoy
Leave a review - let other readers know what you think

Why subscribe?

  • Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals

  • Improve your learning with Skill Plans built especially for you

  • Get a free eBook or video every month

  • Fully searchable for easy access to vital information

  • Copy and paste, print, and bookmark content


Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.packt.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at [email protected] for more details.

At www.packt.com, you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks. 

Previous Section
Next Chapter