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Learn TensorFlow Enterprise

You're reading from Learn TensorFlow Enterprise Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise

Product type Paperback

Published in Nov 2020

Publisher Packt

ISBN-13 9781800209145

Length 314 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Author (1):

KC Tung

View More author details

Table of Contents (15) Chapters

Preface

1. Section 1 – TensorFlow Enterprise Services and Features

2. Chapter 1: Overview of TensorFlow Enterprise FREE CHAPTER

3. Chapter 2: Running TensorFlow Enterprise in Google AI Platform

4. Section 2 – Data Preprocessing and Modeling

5. Chapter 3: Data Preparation and Manipulation Techniques

6. Chapter 4: Reusable Models and Scalable Data Pipelines

7. Section 3 – Scaling and Tuning ML Works

8. Chapter 5: Training at Scale

9. Chapter 6: Hyperparameter Tuning

10. Section 4 – Model Optimization and Deployment

11. Chapter 7: Model Optimization

12. Chapter 8: Best Practices for Model Training and Performance

13. Chapter 9: Serving a TensorFlow Model

14. Other Books You May Enjoy

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Chapter 1: Overview of TensorFlow Enterprise

In this introductory chapter, you will learn how to set up and run TensorFlow Enterprise in a Google Cloud Platform (GCP) environment. This will enable you to get some initial hands-on experience of how TensorFlow Enterprise integrates with other services in GCP. One of the most important improvements in TensorFlow Enterprise is the integration with the data storage options in Google Cloud, such as Google Cloud Storage and BigQuery.

This chapter starts by covering how to complete a one-time setup for the cloud environment and enable the necessary cloud service APIs. Then we will see how easy it is to work with these data storage systems at scale.

In this chapter, we'll cover the following topics:

Understanding TensorFlow Enterprise
Configuring cloud environments for TensorFlow Enterprise
Accessing the data sources

You have been reading a chapter from

Learn TensorFlow Enterprise

Published in: Nov 2020

Publisher: Packt

ISBN-13: 9781800209145

© 2020 Packt Publishing Limited All Rights Reserved

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Authors (1)

Tung

Tung

KC Tung is a cloud solution architect at Microsoft and specializes in machine learning, as well as AI model development and deployment. He has a Ph.D. in biophysics from the University of Texas Southwestern Medical Center in Dallas and has spoken at the 2018 O'Reilly AI Conference in San Francisco and the 2019 O'Reilly TensorFlow World Conference in San Jose. He has worked on building data ingestion and feature engineering pipelines for custom datasets in cloud environments. He has also delivered machine learning models for scalable deployment. He is a Microsoft certified AI engineer and data engineer.

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