Your question is Deep Learning for Imaging. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Tell me about your experience with deep learning for image recognition, including residual networks and variational models.
Discuss a representative project, covering data preparation, architecture selection, training, evaluation, failure analysis, and deployment considerations. Be prepared to explain when a residual network is preferable to a variational model and how you validated the system.