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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

Technical requirements

All the code examples in this book are available as Jupyter notebooks that can be downloaded from https://github.com/PacktPublishing/Automated-Machine-Learning-with-AutoKeras.

Since code cells can be executed, each notebook can be self-installed; you just need to add the code snippet with the requirements you need. For this reason, at the beginning of each notebook, there is a code cell for environment setup that installs AutoKeras and its dependencies.

So, to run the code examples for this chapter, you only need a computer with Ubuntu Linux as your OS and install the Jupyter Notebook with the following code:

$ apt-get install python3-pip jupyter-notebook

Alternatively, you can also run these notebooks using Google Colaboratory, in which case you will only need a web browser. See the AutoKeras with Google Colaboratory section of Chapter 2, Getting Started with AutoKeras, for more details. Furthermore, in the Installing AutoKeras section of that chapter...

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