Question 2
Consider a dataset with 150 samples and a batch size of 15. If each minibatch iteration contributes an average loss of 0.4, what will be the total loss after 15 epochs?
Question 3
If you use hierarchical softmax with a binary tree where each leaf node represents a word in the vocabulary, and the vocabulary size (V ) is 16000, how many binary classifiers are needed?
22 more questions in this paper
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More on the Deep Learning End Term 1 Sept 2024 paper
The IIT Madras BS Deep Learning (Deep Learning) End Term paper sat on 1 Sept 2024, in the May 2024 term: 25 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 1 Sept 2024 at a glance |
|---|---|
| Term | May 2024 term |
| Subject | Deep Learning |
| Course code | BSCS3004 |
| Questions | 25 |
| Marks | 50 |
| Duration | 180 min |
| Numerical | 11 |
| MCQ | 13 |
| MSQ | 1 |
| Official paper | IIT M DEGREE AN EXAM QDB3 01 Sep 2024 |
| Negative marking | No negative marking. |
| Updated |