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Table Of Contents
Automated Machine Learning with AutoKeras
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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 on.
In this chapter, we will cover the following topics: