Advanced Deep Learning Interview Questions, issue 24, Apr 14, 2026
The Generative Routing Trap
Senior Computer Vision Engineer interview at Meta, and the interviewer asks:
“Our e-commerce app needs an image translation feature to convert clothing images across 10 different seasonal and regional styles without paired data. How do you architect the generative routing?”
Don’t say: “We should use CycleGAN. I’ll train an individual CycleGAN model for every single style pair - Summer to Winter, Fall to Spring, etc.”
What looks like a modeling choice becomes an infrastructure failure when dozens of generators explode latency, memory, and deployment complexity.
The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.