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Deep Learning · Quiz 2 · 1 Dec 2024 · September 2024 term

Question 13: Which architecture has fewer parameters (CONV or FC)?

Question 13

+1 markOne correct option

Consider an input image of shape 10×10 with 3 channels of R-G-B, is processed using one of the following neural architectures:
• Fully-connected layer (FC) with 2 neurons (Note: The input volume is “flattened” into a column vector before being fed into the layer.)
• Convolutional layer (CONV) with three filters of size 2 × 2, a stride of 2 is used, and no padding is applied.
Based on the above data answer the given subquestions.

Which architecture has fewer parameters (CONV or FC)?

  1. A

    CONV Layer

  2. B

    FC

Show answer

Correct answer

  • A

    CONV Layer

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Question 13 of 23 in the IIT Madras BS Deep Learning (Deep Learning) Quiz 2 paper sat on 1 Dec 2024, in the September 2024 term (IIT M DEGREE AN EXAM QDB2 01 Dec 2024). It carries 1 mark.

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