Welcome to your interview.
The question is on your right: Diagnosing Vanishing and Exploding Gradients. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You are training a deep neural network and notice unstable learning. Loss may plateau early, become NaN, or improve only in shallow layers.
How do you diagnose and mitigate vanishing or exploding gradients during the training of deep neural networks?