Question 1
5
3
1
0
Question 2
Question 3
In the context of RNNs, what structural feature of LSTMs helps reduce the impact of vanishing gradients?
Skip connections
Gated mechanisms like forget and input gates
Weight sharing across layers
Use of dropout
18 more questions in this paper
Sign in with Google — it is free — to see every question with its answer and explanation, practise it in learning mode, or take it as a timed mock test.
More on the Deep Learning End Term 22 Dec 2024 paper
The IIT Madras BS Deep Learning (Deep Learning) End Term paper sat on 22 Dec 2024, in the September 2024 term: 21 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 22 Dec 2024 at a glance |
|---|---|
| Term | September 2024 term |
| Subject | Deep Learning |
| Course code | BSCS3004 |
| Questions | 21 |
| Marks | 50 |
| Duration | 180 min |
| MCQ | 10 |
| Numerical | 10 |
| MSQ | 1 |
| Official paper | IIT M DEGREE AN EXAM QDB3 22 Dec 2024 |
| Negative marking | No negative marking. |
| Updated |