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 1 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 1: 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 1 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 |