alleryStart learning →Removing any single middle convolutional layer of AlexNet costs roughly
ANo measurable drop in accuracy
BA 2% drop in top-1 accuracy
CA 10% drop in top-1 accuracy
DA 20% drop in top-1 accuracy
Answer & Solution
Correct answer: B. A 2% drop in top-1 accuracy
About 2% loss in top-1 if any middle layer is removed.
The authors take this as evidence that depth is essential — not just total parameter count.
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