32 Common Deep Learning Interview Questions

Here are some questions to ask during a deep learning interview:

1. How much experience do you have with deep learning?
2. What is deep learning?
3. What are the different types of Deep Learning?
4. What is a recurrent neural network?
5. How does Deep Learning work?
6. How do you train a neural network?
7. How do you train a model using backpropagation?
8. Can you describe an example of a deep learning system?
9. What are the main categories of deep learning?
10. What is the difference between supervised and unsupervised learning?
11. How can deep learning be applied to language processing?
12. How does deep learning differ from machine learning and artificial intelligence?
13. What is your favorite deep learning model and why?
14. What are some of the advantages and disadvantages of deep learning?
15. What are some potential limitations of deep learning?
16. How do you ensure that your models are improving over time?
17. What are some applications of deep learning?
18. How do you use deep learning to improve an existing process or system?
19. Why do we need deep learning?
20. What is your favorite deep learning algorithm and why?
21. Why is deep learning important right now?
22. What are the main components of a neural network?
23. How do you tune your neural network to get optimal results?
24. What are the limitations of deep learning and how can they be overcome?
25. What is the difference between a neural network and a convolutional neural network (CNN)?
26. What advantages does CNN have over a traditional computer vision system?
27. How does CNN differ from a classic signal processing algorithm like Fourier transforms or Kalman filters?
28. What are some of the applications of CNNs today?
29. What are the most popular CNN architectures?
30. How is CNN used in image recognition?
31. What are some common problems that you have run into when working with deep learning?
32. How do you feel about the current state of deep learning research and innovation?