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Deep Learning Practice · End Term · 10 May 2026 · January 2026 term

Question 22: In the GoogLeNet (Inception v1) architecture, 1 × 1 conv…

Question 22

+5 marksOne correct option

In the GoogLeNet (Inception v1) architecture, 1 × 1 convolutions (bottleneck layers) are applied before larger 3 × 3 and 5 × 5 convolutions. What is the primary motivation for including these 1 × 1 filters within an Inception module?

  1. A

    Transposed Convolution.

  2. B

    To reduce the dimensionality (depth) of feature maps to manage computational complexity.

  3. C

    To replace the need for skip connections and solve the degradation problem.

  4. D

    To strictly enforce a mean of 0 and variance of 1 across the channel dimension.

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Correct answer

  • B

    To reduce the dimensionality (depth) of feature maps to manage computational complexity.

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Question 22 of 22 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 10 May 2026, in the January 2026 term (Deep Learning Practice 06 May 26). It carries 5 marks.

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