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Automated Machine Learning with AutoKeras

You're reading from  Automated Machine Learning with AutoKeras

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

Table of Contents (15) Chapters

Preface 1. Section 1: AutoML Fundamentals
2. Chapter 1: Introduction to Automated Machine Learning 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 coding examples in this book are available as Jupyter notebooks that can be downloaded from the following link: https://github.com/PacktPublishing/Automated-Machine-Learning-with-AutoKeras.

As code cells can be executed, each notebook can be self-installable, by adding a code snippet with the requirements you need. For this reason, at the beginning of each notebook there is a code cell for environmental setup, which installs AutoKeras and its dependencies.

So, to run the coding examples, you only need a computer with Ubuntu Linux as the operating system and can install the Jupyter Notebook with the following command line:

$ 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. For further details, see the AutoKeras with Google Colaboratory section in Chapter 2, Getting Started with AutoKeras. Furthermore, in the Installing AutoKeras...

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