Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Automated Machine Learning with AutoKeras

You're reading from   Automated Machine Learning with AutoKeras Deep learning made accessible for everyone with just few lines of coding

Arrow left icon
Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800567641
Length 194 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Luis Sobrecueva Luis Sobrecueva
Author Profile Icon Luis Sobrecueva
Luis Sobrecueva
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: AutoML Fundamentals
2. Chapter 1: Introduction to Automated Machine Learning FREE CHAPTER 3. Chapter 2: Getting Started with AutoKeras 4. Chapter 3: Automating the Machine Learning Pipeline with AutoKeras 5. Section 2: AutoKeras in Practice
6. Chapter 4: Image Classification and Regression Using AutoKeras 7. Chapter 5: Text Classification and Regression Using AutoKeras 8. Chapter 6: Working with Structured Data Using AutoKeras 9. Chapter 7: Sentiment Analysis Using AutoKeras 10. Chapter 8: Topic Classification Using AutoKeras 11. Section 3: Advanced AutoKeras
12. Chapter 9: Working with Multimodal and Multitasking Data 13. Chapter 10: Exporting and Visualizing the Models 14. Other Books You May Enjoy

Chapter 1: Introduction to Automated Machine Learning

In this chapter, we cover the main concepts relating to Automated Machine Learning (AutoML) with an overview of the types of AutoML methods and its software systems.

If you are a developer working with AutoML, you will be able to put your knowledge to work with this practical guide to develop and use state-of-the-art AI algorithms in your projects. By the end of this chapter, you will have a clear understanding of the anatomy of the Machine Learning (ML) workflow, what AutoML is, and its different types.

Through clear explanations of essential concepts and practical examples, you will see the differences between the standard ML and the AutoML approaches and the pros and cons of each.

In this chapter, we're going to cover the following main topics:

  • The anatomy of a standard ML workflow
  • What is AutoML?
  • Types of AutoML
You have been reading a chapter from
Automated Machine Learning with AutoKeras
Published in: May 2021
Publisher: Packt
ISBN-13: 9781800567641
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime