Question 1
Which of the following optimization algorithms combines Nesterov accelerated gradient with adaptive moment estimation?
NAdam
Adam
RMSprop with momentum
Nesterov accelerated gradient descent
Question 2
Suppose that we apply Dropout regularization to a feed forward neural network. Suppose further that mini-batch gradient descent algorithm is used for updating the parameters of the network. Choose the correct statement from the following:
This will lead to sparcity in the trained weights.
None of these.
Question 3
Match the optimization algorithms in Column A with their corresponding properties or characteristics in Column B. Note that an algorithm in Column A may correspond to multiple properties in Column B.
Choose the correct set of mappings:
1-(i), 2-(v), 3-(ii, iii), 4-(iv)
1-(ii), 2-(iv), 3-(iii), 4-(i, v)
1-(ii), 2-(iii), 3-(i, iv), 4-(v)
1-(v), 2-(i), 3-(iv), 4-(ii, iii)
12 more questions in this paper
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More on the Deep Learning Quiz 2 12 Apr 2026 paper
The IIT Madras BS Deep Learning (Deep Learning) Quiz 2 paper sat on 12 Apr 2026, in the January 2026 term: 15 questions for 40 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Deep Learning Quiz 2 12 Apr 2026 at a glance |
|---|---|
| Term | January 2026 term |
| Subject | Deep Learning |
| Course code | BSCS3004 |
| Questions | 15 |
| Marks | 40 |
| Duration | 120 min |
| MCQ | 4 |
| MSQ | 3 |
| Numerical | 8 |
| Official paper | Deep Learning 07 Apr 26 |
| Negative marking | No negative marking. |
| Updated |