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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

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781800567641

Length 194 pages

Edition 1st Edition

Languages

Python

Tools

AutoKeras

Concepts

Deep Learning

Author (1):

Luis Sobrecueva

View More author details

Table of Contents (15) Chapters

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 Notebook/s that can be downloaded from the following website: https://github.com/PacktPublishing/Automated-Machine-Learning-with-AutoKeras.

Jupyter Notebook provides a Python-based environment where code can be developed as a sequence of steps, which are called cells. The notebook also provides flexibility to install libraries/dependencies on the go by executing Linux-based commands in the cells.

So, to run the coding examples in this chapter, you only need a computer with Jupyter installed. For instance, in Ubuntu/Linux, you can install it with this line:

$ apt-get install python3-pip jupyter-notebook

The previous command will install the Jupyter notebook package and all its dependencies.

You can also take a look at the Installing AutoKeras on an Ubuntu Linux workstation section for more details.

Alternatively, you can also run these notebooks using Google Colaboratory, in which case...

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Authors (1)

Sobrecueva

Sobrecueva

Luis Sobrecueva is a senior software engineer and ML/DL practitioner currently working at Cabify. He has been a contributor to the OpenAI project as well as one of the contributors to the AutoKeras project.

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