Chapter 6. Deep learning for text and sequences

This chapter covers

  • Preprocessing text data into useful representations
  • Working with recurrent neural networks
  • Using 1D convnets for sequence processing

This chapter explores deep-learning models that can process text (understood as sequences of words or sequences of characters), timeseries, and sequence data in general. The two fundamental deep-learning algorithms for sequence processing are recurrent neural networks and 1D convnets, the one-dimensional version of the 2D convnets that we covered in the previous chapters. We’ll discuss both of these approaches in this chapter.

Applications of these algorithms include the following:

  • Document classification and timeseries classification, such as ...

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