Machine Learning with TensorFlow, Second Edition

16 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

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 guessing. But that guessing was based on something clever, a strategy that you might have employed as well. After counting my number of true answers, I realized that a disproportionate number of false answers were lacking. So a majority of my guesses ...