Deep Learning with R

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 ...