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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

Concepts

Author (1):

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

Installing AutoKeras

In the following sections, we will explain in detail the different options that exist for installing AutoKeras and how to configure each one step by step.

There are two options to choose when installing AutoKeras: we can install it in a local workstation or we can install it in the cloud. Each of the two options has its pros and cons that we will analyze throughout this chapter.

Installing AutoKeras in the cloud

In the cloud, we have opted for two options: install it on an Amazon Web Services (AWS) instance/container, or use Google Colaboratory. In both cases, we will connect to the cloud instance using Jupyter notebooks from a web browser, as shown in the following screenshot. We just need a computer with an internet connection to run the notebooks:

Figure 2.5 – AutoKeras cloud configurations

Let's look at the options for the cloud in more detail.

AutoKeras with Google Colaboratory

Google offers a Jupyter notebook...

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Authors (1)

Luis 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.

See other products by Luis Sobrecueva

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