Question 2
The gradient at each layer depends on the gradient propagated from the layer above it.
A very large gradient can cause excessively large weight updates, potentially making training unstable.
Small gradients always cause the loss to decrease during training.
Question 3
Based on the above data, answer the given subquestions.
16 more questions in this paper
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More on the Deep Learning End Term 13 Sept 2026 Set 1 paper
The IIT Madras BS Deep Learning (Deep Learning) End Term paper sat on 13 Sept 2026, in the May 2026 term, set 1: 19 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 End Term 13 Sept 2026 Set 1 at a glance |
|---|---|
| Term | May 2026 term |
| Subject | Deep Learning |
| Course code | BSCS3004 |
| Questions | 19 |
| Marks | 50 |
| Duration | 180 min |
| Numerical | 13 |
| MSQ | 2 |
| MCQ | 4 |
| Official paper | Deep Learning 13 Sep 26 (Session 2) |
| Negative marking | No negative marking. |
| Updated |