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Coding & DSA / 66

Implement a dropout layer (train and inference) from scratch.

Dropout is five lines, yet most candidates botch two of them: disabling it at inference and scaling the survivors so the expected activation stays constant. Inverted dropout is the convention they want to see.

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

Dropout is five lines, yet most candidates botch two of them: disabling it at inference and scaling the survivors so the expected activation stays constant. Inverted dropout is the convention they want to see.

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