Deep Learning For Computer Vision Week 9 Nptel Answers 2024
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Deep Learning For Computer Vision Week 9 Nptel Answers (July-Dec 2024)
- For this question, please see Question 1 in the iPython notebook (.ipynb file) provided alongside. Complete your implementation under the “YOUR CODE STARTS HERE” segment therein. What is the loss value at the end of 10th epoch? (Choose the closest option.)
A) 0.0559
B) 0.0212
C) 0.2321
D) 0.9452
Answer: C) 0.2321
- For this question, please see Question 2 in the iPython notebook (.ipynb file) provided alongside. Complete your implementation under the “YOUR CODE STARTS HERE” segment therein. What is the loss value at the end of 10th epoch? (Choose the closest option.)
A) 0.4509
B) 0.5851
C) 0.2321
D) 0.119
Answer: B) 0.5851
- For this question, please see Question 3 in the iPython notebook (.ipynb file) provided alongside. Complete your implementation under the “YOUR CODE STARTS HERE” segment therein. Given a set of query, key, value vectors, calculate the attention value using multihead attention. (Choose the closest option to the maximum value of the attention vector)
A) 0.5855
B) 0.7851
C) 0.2312
D) 0.9452
Answer: A) 0.5855
- For this question, please see Question 4 in the iPython notebook (.ipynb file) provided alongside. Complete your implementation under the “YOUR CODE STARTS HERE” segment therein. Validation loss saturates after how many epochs?
A) 1
B) 1.5
C) 2
D) 4
Answer: A) 1
- For this question, please see Question 5 in the iPython notebook (.ipynb file) provided alongside. Complete your implementation under the “YOUR CODE STARTS HERE” segment therein. What is the validation loss at the end of 5th epoch? (choose the closest value)
A) 0.1077
B) 0.3441
C) 0.783
D) 1.450
Answer: A) 0.1077
- For this question, please see Question 6 in the iPython notebook (.ipynb file) provided alongside. Complete your implementation under the “YOUR CODE STARTS HERE” segment therein. What is the test accuracy? (choose the closest value)
A) 96.70%
B) 50.39%
C) 85.30%
D) 06.69%
Answer: A) 96.70
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