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What is dropout, and how does it regularize a neural network?

Dropout is the classic neural-net regularizer, but the signal is whether you can explain why zeroing activations forces redundancy, and the train-vs-inference scaling bug that trips most candidates. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Dropout is the classic neural-net regularizer, but the signal is whether you can explain why zeroing activations forces redundancy, and the train-vs-inference scaling bug that trips most candidates. Here is the answer.

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