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

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

So, in order to run the coding examples, you only require a computer with Ubuntu Linux as the OS and can install the Jupyter notebook with the following command:

$ apt-get install python3-pip jupyter-notebook

Alternatively, you can also run these notebooks using Google Colaboratory. In this instance, you will only require a web browser; refer to the AutoKeras with Google Colaboratory section in Chapter 2, Getting Started with Autokeras, for more details. Furthermore, in the main section, Installing AutoKeras...

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