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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

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800209145
Length 314 pages
Edition 1st Edition
Languages
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Author (1):
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KC Tung KC Tung
Author Profile Icon KC Tung
KC Tung
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Table of Contents (15) Chapters Close

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

Using the Cloud TPU through AI Platform

Before we begin, let's briefly discuss the possible costs you might incur in the Google Cloud Platform (GCP). All the scripts and examples here are catered to didactic purposes. Therefore, training epochs are usually set to minimally reasonable values. With that in mind, it is still worth noting that as we start to leverage cloud resources, we need to keep in mind the compute cluster's cost. You will find more information on AI Platform training charges here: https://cloud.google.com/ai-platform/training/pricing#examples_calculate_training_cost_using_price_per_hour.

The examples in this book typically use the predefined scale tiers. In the predefined scale tiers listing at the preceding link, you will see the price per hour for different tiers. For example, BASIC_TPU is much more expensive than BASIC_GPU. We will use both in this chapter, as we will learn how to submit a training job to either the TPU or GPU. In my experience, each...

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