# 32 Common Deep Learning Interview Questions

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

- How much experience do you have with deep learning?
- What is deep learning?
- What are the different types of Deep Learning?
- What is a recurrent neural network?
- How does Deep Learning work?
- How do you train a neural network?
- How do you train a model using backpropagation?
- Can you describe an example of a deep learning system?
- What are the main categories of deep learning?
- What is the difference between supervised and unsupervised learning?
- How can deep learning be applied to language processing?
- How does deep learning differ from machine learning and artificial intelligence?
- What is your favorite deep learning model and why?
- What are some of the advantages and disadvantages of deep learning?
- What are some potential limitations of deep learning?
- How do you ensure that your models are improving over time?
- What are some applications of deep learning?
- How do you use deep learning to improve an existing process or system?
- Why do we need deep learning?
- What is your favorite deep learning algorithm and why?
- Why is deep learning important right now?
- What are the main components of a neural network?
- How do you tune your neural network to get optimal results?
- What are the limitations of deep learning and how can they be overcome?
- What is the difference between a neural network and a convolutional neural network (CNN)?
- What advantages does CNN have over a traditional computer vision system?
- How does CNN differ from a classic signal processing algorithm like Fourier transforms or Kalman filters?
- What are some of the applications of CNNs today?
- What are the most popular CNN architectures?
- How is CNN used in image recognition?
- What are some common problems that you have run into when working with deep learning?
- How do you feel about the current state of deep learning research and innovation?