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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