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Automated Machine Learning with AutoKeras
book

Automated Machine Learning with AutoKeras

by Luis Sobrecueva
May 2021
Intermediate to advanced content levelIntermediate to advanced
194 pages
3h 33m
English
Packt Publishing
Content preview from Automated Machine Learning with AutoKeras

Chapter 5: Text Classification and Regression Using AutoKeras

In this chapter, we will focus on the use of AutoKeras to work with text (a sequence of words).

In the previous chapter, we saw that there was a specialized type of network suitable for image processing, called a convolutional neural network (CNN). In this chapter, we will see what recurrent neural networks (RNNs) are and how they work. An RNN is a type of neural network that is very suited to working with text.

We will also use a classifier and a regressor to solve text-based tasks. By the end of the chapter, you will have learned how to use AutoKeras to solve a wide variety of problems that are text-based, such as extracting emotions from tweets, detecting spam in emails, and so ...

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Publisher Resources

ISBN: 9781800567641Supplemental Content