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✅ Subject: Deep Learning for Computer Vision
📅 Week: 7
🎯 Session: NPTEL 2025 July-October
🔗 Course Link: Click Here
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NPTEL Deep Learning for Computer Vision Week 7 Assignment Answers 2025
1. 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 are the respective values for the quantities s[90][50], ii[350][750], region sum(100, 130, 380, 665) ?
- 2880, 12688949, 13923164
- 4880, 36188949, 25444096
- 5313, 37465641, 25108243
- 7313, 56188949, 46323164
Answer : See Answers
2. 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 value of the multi-task loss obtained above ? (Select the nearest value)
- 0.6317
- 0.7329
- 0.9435
- 0.8417
Answer :
3. 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. What is the value of the dice loss obtained above ? (Select the nearest value)
- 0.5018
- 0.6324
- 0.7846
- 0.8722
Answer :
4. 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. How many parameters are there in the model?
- 117
- 207
- 166
- 236
Answer :
5. 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 mean squared error loss on the train set? (select the nearest value)
- 0.0058
- 0.1204
- 0.0971
- 0.2486
Answer :
6. 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 mean squared error loss on the test set? (select the nearest value)
- 0.0218
- 0.0059
- 0.0097
- 0.0975
Answer : See Answers


