Learn TensorFlow Enterprise

Learn TensorFlow Enterprise

Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise

person icon KC Tung

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Dec, 2020

architecture icon Development,Data Science and AI ML,TensorFlow


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 314

ISBN : 9781800204874

Language : English

About the Book

Book description

Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable enterprise-level deployment

Key Features

  • Build scalable, seamless, and enterprise-ready cloud-based machine learning applications using TensorFlow Enterprise
  • Discover how to accelerate the machine learning development life cycle using enterprise-grade services
  • Manage Google’s cloud services to scale and optimize AI models in production

Book Description

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.

What you will learn

  • Discover how to set up a GCP TensorFlow Enterprise cloud instance and environment
  • Handle and format raw data that can be consumed by the TensorFlow model training process
  • Develop ML models and leverage prebuilt models using the TensorFlow Enterprise API
  • Use distributed training strategies and implement hyperparameter tuning to scale and improve your model training experiments
  • Scale the training process by using GPU and TPU clusters
  • Adopt the latest model optimization techniques and deployment methodologies to improve model efficiency

Who this book is for

This book is for data scientists, machine learning developers or engineers, and cloud practitioners who want to learn and implement various services and features offered by TensorFlow Enterprise from scratch. Basic knowledge of the machine learning development process will be useful.

Learn TensorFlow Enterprise

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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