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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

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800567641
Length 194 pages
Edition 1st Edition
Languages
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Author (1):
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Luis Sobrecueva Luis Sobrecueva
Author Profile Icon Luis Sobrecueva
Luis Sobrecueva
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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

Why AutoKeras?

As we explained in the previous chapter, AutoKeras is an open source AutoML framework that allows a non-ML expert to create high-performance models in a simple way. There are similar tools with the same objective, but AutoKeras is specialized in DL. Although it is not the only solution, there are several AutoML services available; most are cloud computing platforms (Amazon, Google, International Business Machines (IBM)) and have some significant disadvantages, which are outlined here:

  • Machine learning cloud platforms are expensive; you usually have a trial period with free credits, but if you want to use them regularly you will have to pay a bill every month.
  • Depending on the cloud platform, some of them are not easy to configure and scale, which sometimes requires you to have knowledge of containers and clusters.
  • They tend to offer simple to use but less flexible out-of-the-box solutions.

As AutoKeras is based on an open source model, it solves...

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