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Deep Learning Practice · End Term · 10 May 2026 · January 2026 term

Question 15: In the context of Convolutional Neural Networks (CNNs), …

Question 15

+5 marksOne or more correct options

In the context of Convolutional Neural Networks (CNNs), what is the primary mechanism that allows the network to handle inputs of varying spatial sizes while maintaining a fixed number of parameters, a characteristic that distinguishes them from standard Multi-Layer Perceptrons (MLPs)?

Select all that apply.

  1. A

    Neurons are connected only to a local region of the input.

  2. B

    Max Pooling: Reducing the spatial resolution to a single pixel before the first hidden layer.

  3. C

    Parameter Sharing: Using the same set of weights (filters) across different spatial locations of the input.

  4. D

    Fully Connected Layers: Replacing all convolutional layers with dense layers to increase the receptive field.

Show answer

Correct answers

  • A

    Neurons are connected only to a local region of the input.

  • C

    Parameter Sharing: Using the same set of weights (filters) across different spatial locations of the input.

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Question 15 of 22 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 10 May 2026, in the January 2026 term (Deep Learning Practice 06 May 26). It carries 5 marks.

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