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Deep Learning Practice · End Term · 31 Aug 2025 · May 2025 term · Set QDB3

Question 8: Which of the following are valid reasons why Convolutiona…

Question 8

+5 marksOne or more correct options

Which of the following are valid reasons why Convolutional Neural Networks (CNNs) are preferred over fully connected Multilayer Perceptrons (MLPs) for image processing tasks?

Select all that apply.

  1. A

    CNNs reduce the number of parameters by using local connections and weight sharing.

  2. B

    CNNs can process images of arbitrary size without any architectural changes.

  3. C

    CNNs exploit the spatial structure of images, making them more efficient at recognizing patterns.

  4. D

    CNNs perform better than MLPs because they always use deeper networks.

  5. E

    CNNs maintain spatial hierarchies by stacking convolution and pooling layers.

  6. F

    CNNs can generalize better to unseen data due to their built-in translational invariance.

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Correct answers

  • A

    CNNs reduce the number of parameters by using local connections and weight sharing.

  • C

    CNNs exploit the spatial structure of images, making them more efficient at recognizing patterns.

  • E

    CNNs maintain spatial hierarchies by stacking convolution and pooling layers.

  • F

    CNNs can generalize better to unseen data due to their built-in translational invariance.

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Question 8 of 22 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M DEGREE AN EXAM QDB3 31 Aug 2025). It carries 5 marks.

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