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Deep Learning for Computer Vision · Quiz 2 · 16 Aug 2026 · May 2026 term

Question 1: Why do very deep plain CNNs (without skip connections) so…

Question 1

+1 markOne correct option

Why do very deep plain CNNs (without skip connections) sometimes show higher training error than shallower CNNs?

  1. A

    They always overfit because parameter count increases.

  2. B

    Optimization becomes harder; skip connections make learning identity mappings easier and improve gradient flow.

  3. C

    BatchNorm guarantees this never happens.

  4. D

    Using sigmoid activations instead of ReLU always fixes it.

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Correct answer

  • B

    Optimization becomes harder; skip connections make learning identity mappings easier and improve gradient flow.

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Question 1 of 22 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) Quiz 2 paper sat on 16 Aug 2026, in the May 2026 term (Deep Learning For Computer Vision 16 Aug 26). It carries 1 mark.

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