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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

Summary

In this chapter, you have learned the main options for getting started with AutoKeras, from installation to running in various environments.

You have also seen the power of AutoKeras by implementing two different approaches of a high-precision image classifier in just a few lines of code and 2 minutes of training.

Now that you have learned to implement a DL model from scratch, following these same steps and simply changing the dataset, your model would be able to classify all kinds of images.

In the following chapters, you will learn how to solve more complicated tasks related to images, structured data, and plaintext as input data sources, but before that, in the next chapter, we will see how to prepare the data to feed to AutoKeras by using some interesting tools to automate this process as much as possible.

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