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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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Toc

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

Creating a multitask/multimodal model

Based on the example provided at the beginning of this chapter, the model that we are going to create will take an image and its structured data attributes as input and will predict a category value and a scalar value. In this case, instead of using a dataset, we will generate our own data. The notebook we will be using that contains the complete source code can be found at https://github.com/PacktPublishing/Automated-Machine-Learning-with-AutoKeras/blob/main/Chapter09/Chapter9_MultiModel.ipynb.

Now, let's have a look at the relevant cells of the notebook in detail:

  • Installing AutoKeras: As we've mentioned in the previous chapters, this snippet at the top of the notebook is responsible for installing AutoKeras and its dependencies using the pip package manager:
    !pip3 install autokeras
  • Importing the necessary packages: The following lines load TensorFlow, the built-in Keras Reuters dataset, numpy, and AutoKeras as the necessary...
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