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Introduction to Deep Learning and Generative AI, Quiz 2

January 2026 term, 12 Apr 2026, Set 1

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Question 1

+2−0Single correct

Consider the following code:

Select one option

A.
It enables gradient computation
B.
It resets the model parameters every epoch
C.
It clears previously stored gradients
D.
It ensures layers like Dropout and BatchNorm behave correctly during training

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Consider the following code: Figure from the original question paper Question text from the original paper, with its maths as pictures Consider the following code: Figure from the original question paper What is the spatial size of the output after applying the given pooling code? Which of the following code snippets generates fake images from random noise for training a fully connected GAN network?