Deep Learning Intermediate Quiz 4

1. Which is a benefit of using batch normalization?

2. Which task is a common application of RNNs?

3. What is the main advantage of data augmentation?

4. Which method can you use to visualize training progress?

5. What is a “learning rate schedule”?

6. What is a key property of LSTM networks?

7. What is the main goal of hyperparameter tuning?

8. Which of these is a method for hyperparameter tuning?

9. What does a “flatten” layer do?

10. What is a common sign of underfitting?