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

Question 11: Which of the following are NOT advantages of AlexNet ove…

Question 11

+5 marksOne or more correct options

Which of the following are NOT advantages of AlexNet over InceptionNet?

Select all that apply.

  1. A

    AlexNet is simpler and easier to implement compared to the complex multi- branch design of InceptionNet.

  2. B

    AlexNet requires fewer parameters than InceptionNet due to its shallow architecture.

  3. C

    AlexNet has better accuracy on ImageNet than InceptionNet due to its early adoption of ReLU and dropout.

  4. D

    AlexNet is faster to train on small datasets because of its shallow depth and simpler structure.

  5. E

    InceptionNet extracts multi-scale features using filters of different sizes in parallel, which improves accuracy.

  6. F

    AlexNet lacks 1 x 1 convolutions, which are used in InceptionNet for dimensionality reduction and increased efficiency.

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Correct answers

  • C

    AlexNet has better accuracy on ImageNet than InceptionNet due to its early adoption of ReLU and dropout.

  • E

    InceptionNet extracts multi-scale features using filters of different sizes in parallel, which improves accuracy.

  • F

    AlexNet lacks 1 x 1 convolutions, which are used in InceptionNet for dimensionality reduction and increased efficiency.

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Question 11 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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