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

Question 14: Which statements can be true in practice when fine-tunin…

Question 14

+3 marksOne or more correct options

Which statements can be true in practice when fine-tuning with small batch sizes?

Select all that apply.

  1. A

    Freezing BatchNorm running statistics can improve stability.

  2. B

    If the new dataset distribution differs, re-estimating BN stats may help.

  3. C

    BN always improves performance even with batch size 1.

  4. D

    Setting BN to eval disables learned affine parameters (γ, β).

Show answer

Correct answers

  • A

    Freezing BatchNorm running statistics can improve stability.

  • B

    If the new dataset distribution differs, re-estimating BN stats may help.

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Question 14 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 3 marks.

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