Backprop is the algorithm that makes deep learning trainable, and the interviewer wants the chain-rule mechanics, not just 'it computes gradients.' What interviewers reward is the forward-then-backward flow and why it is efficient. Here is the answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Backprop is the algorithm that makes deep learning trainable, and the interviewer wants the chain-rule mechanics, not just 'it computes gradients.' What interviewers reward is the forward-then-backward flow and why it is efficient. Here is the answer.
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