Chapter 10. Recurrent neural networks

This chapter covers

  • Understanding the components of a recurrent neural network
  • Designing a predictive model of time-series data
  • Using the time-series predictor on real-world data

10.1. Contextual information

Back in school, I remember my sigh of relief when one of my midterm exams consisted of only true-or-false questions. I can’t be the only one who assumed that half the answers would be True and the other half would be False.

I figured out answers to most of the questions and left the rest to random guessing. But that guessing was based on something clever, a strategy that you might have employed as ...

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