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Introduction to Deep Learning and Generative AI · Quiz 1 · 19 Jul 2026 · May 2026 term

Question 15: In deep CNN architectures like VGGNet, multiple 3×3 conv…

Question 15

+2 marksOne correct option

In deep CNN architectures like VGGNet, multiple 3×3 convolutional layers are stacked instead of using a single large kernel (e.g.,7×7). Which of the following statements best explains the advantage of this design choice?

  1. A

    It increases the receptive field and parameter count simultaneously, improving representational power.

  2. B

    It provides a similar effective receptive field as a larger kernel while introducing more non-linearities and fewer parameters.

  3. C

    It reduces the receptive field size, but compensates with more skip connections to retain context.

  4. D

    It limits model depth to avoid overfitting by reducing the total number of convolutional layers.

Show answer

Correct answer

  • B

    It provides a similar effective receptive field as a larger kernel while introducing more non-linearities and fewer parameters.

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Question 15 of 20 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) Quiz 1 paper sat on 19 Jul 2026, in the May 2026 term (Introduction To Deep Learning And Generative Ai 16 Jul 26). It carries 2 marks.

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