Question 1
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1
9
10
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9
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Consider the statement “the attention mechanism in RNN based Encoder- Decoder architecture helps the decoder to understand the context of words in a given sentence”. The statement is
True
False
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The IIT Madras BS Deep Learning (Deep Learning) End Term paper sat on 3 Sept 2023, in the May 2023 term, set QPE1-S2: 17 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 3 Sept 2023 Set QPE1-S2 at a glance |
|---|---|
| Term | May 2023 term |
| Subject | Deep Learning |
| Course code | BSCS3004 |
| Questions | 17 |
| Marks | 50 |
| Duration | 180 min |
| MCQ | 5 |
| MSQ | 4 |
| Numerical | 8 |
| Official paper | IIT M DEGREE ET1 EXAM QPE1 S2 03 Sep |
| Negative marking | No negative marking. |
| Updated |