Book Image

Learn TensorFlow Enterprise

By : KC Tung
Book Image

Learn TensorFlow Enterprise

By: KC Tung

Overview of this book

TensorFlow as a machine learning (ML) library has matured into a production-ready ecosystem. This beginner’s book uses practical examples to enable you to build and deploy TensorFlow models using optimal settings that ensure long-term support without having to worry about library deprecation or being left behind when it comes to bug fixes or workarounds. The book begins by showing you how to refine your TensorFlow project and set it up for enterprise-level deployment. You’ll then learn how to choose a future-proof version of TensorFlow. As you advance, you’ll find out how to build and deploy models in a robust and stable environment by following recommended practices made available in TensorFlow Enterprise. This book also teaches you how to manage your services better and enhance the performance and reliability of your artificial intelligence (AI) applications. You’ll discover how to use various enterprise-ready services to accelerate your ML and AI workflows on Google Cloud Platform (GCP). Finally, you’ll scale your ML models and handle heavy workloads across CPUs, GPUs, and Cloud TPUs. By the end of this TensorFlow book, you’ll have learned the patterns needed for TensorFlow Enterprise model development, data pipelines, training, and deployment.
Table of Contents (15 chapters)
1
Section 1 – TensorFlow Enterprise Services and Features
4
Section 2 – Data Preprocessing and Modeling
7
Section 3 – Scaling and Tuning ML Works
10
Section 4 – Model Optimization and Deployment

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: 'Just like lxterminal, we can run Linux commands from here too.'

A block of code is set as follows:

p2 = Person()
p2.name = 'Jane'
p2.age = 20
print(p2.name)
print(p2.age)

Any command-line input or output is written as follows:

sudo apt-get install xrdp -y

Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: 'Open the Remote Desktop Connection application on your Windows PC.'

Tips or important notes

Appear like this.