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Deep Learning for Computer Vision · Quiz 2 · 3 Aug 2025 · May 2025 term

Question 28: Number of parameters for depthwise seperable convolution…

Question 28

+1 markNumerical answer

Let input have size Df × Df × M where Df = 10 and M = 256 and output feature map (after passing input through conv layer) has Df × Df × N size where N = 512. Assume padded convolution. Let width of the square kernel in conv layer be k where k = 7 (Ignore the bias term in the calculation), calculate the number of parameters and computational cost, but make use of Depthwise Seperable convolution and pointwise convolution instead of standard convolution. Based on the above data, answer the given subquestions.

Number of parameters for depthwise seperable convolution:_______________

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Correct answer: 12544

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Question 28 of 52 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) Quiz 2 paper sat on 3 Aug 2025, in the May 2025 term (IIT M IMPROVEMENT AN EXAM QIB2 03 Aug 2025). It carries 1 mark.

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  28. Q29Computational Cost for depthwise seperable convolution:
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