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Deep Learning for Computer Vision · End Term · 28 Apr 2024 · January 2024 term

Question 9: What is the primary advantage of Depthwise Separable Conv…

Question 9

+2 marksOne correct option

What is the primary advantage of Depthwise Separable Convolutions compared to standard Convolutional Neural Network (CNN) convolutions?

  1. A

    Depthwise Separable Convolutions reduce computational complexity and memory footprint by separating the spatial and channel-wise convolutions.

  2. B

    Depthwise Separable Convolutions introduce additional parameters to capture complex spatial relationships within feature maps.

  3. C

    Depthwise Separable Convolutions increase model capacity by performing convolutions across multiple layers of the network.

  4. D

    Depthwise Separable Convolutions enhance feature representation by incorporating multiscale convolutions within the same layer.

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Correct answer

  • A

    Depthwise Separable Convolutions reduce computational complexity and memory footprint by separating the spatial and channel-wise convolutions.

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Question 9 of 44 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 28 Apr 2024, in the January 2024 term (IIT M DEGREE AN EXAM QDB3 28 Apr 2024). It carries 2 marks.

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