Question 1
Based on the above data, answer the given subquestions.
Question 2
Based on the above data, answer the given subquestions.
Question 3
Based on the above data, answer the given subquestions.
Using the actual flattened feature size from previous question number 2, how many learnable parameters (weights + bias) would a fully connected layer with 10 outputs have?
28 more questions in this paper
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More on the Deep Learning Practice End Term 13 Sept 2026 Set S2 paper
The IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 13 Sept 2026, in the May 2026 term, set S2: 31 questions for 50 marks in 180 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 Practice End Term 13 Sept 2026 Set S2 at a glance |
|---|---|
| Term | May 2026 term |
| Subject | Deep Learning Practice |
| Course code | BSDA5013 |
| Questions | 31 |
| Marks | 50 |
| Duration | 180 min |
| Numerical | 18 |
| MCQ | 4 |
| MSQ | 9 |
| Official paper | Deep Learning Practice 13 Sep 26 (Session 2) |
| Negative marking | No negative marking. |
| Updated |