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

AIY Projects and TensorFlow Lite

This chapter details how to deploy TensorFlow 2.0 (TF2.0) trained models on low-powered embedded systems, such as edge devices, mobile systems (such as Android, iOS, and Raspberry Pi), Edge TPUs, and the NVIDIA Jetson Nano. This chapter also covers training and deploying models on do-it-yourself kits, such as Google Artificial Intelligence Yourself (AIY) kits. Other topics this chapter covers are how to convert trained TensorFlow (TF) models into TensorFlow Lite (TFLite) models, the key differences between them, and the advantages of the two.

This chapter is slightly different than the previous chapters, in the sense that it is simply an introduction to a wider concern of TF2.0; that is, the areas of hardware and applications. This chapter outlines some of the most popular systems that can be used to run TF models...