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Deep Learning For Computer Vision Week 3 Nptel Answers
Deep Learning For Computer Vision Week 3 Nptel Answers (July-Dec 2025
Question 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 is mean of the sum of final_output1 and final_output2? (Select the closest value)
Question 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 loss value calculated using the Custom Loss function? (Select the closest value)
Question 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 sum of the means of the gradients, grad_M and grad_v? (Select the closest value)
Question 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. What is mean of the output? (Select the closest value)
Question 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. Report the final train accuracy (If you are not getting the exact number shown in options, please report the closest number).
Question 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. Report the final test accuracy (If you are not getting the exact number shown in options, please report the closest number).
Q1 ) 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 mean of the sum of final_output1 and final_output2? (Select the closest value) 875 880 883 870
Answer: 880
Q2.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 calculated using the Custom Loss function? (Select the closest value) 1 2.5 1.5 2
Q3.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 sum of the means of the gradients, grad_M and grad_v? (Select the closest value) 2 1.7 2.5 3
Answer: 3
Q4. 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. What is mean of the output? (Select the closest value?) 1.6 2.2 3 1.8
These are Deep Learning For Computer Vision Week 3 Nptel Answers
Q5. 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. Report the final train accuracy (If you are not getting the exact number shown in options, please report the closest number). 100% 53% 61% 79%
Answer: 61%
Q6.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. Report the final test accuracy (If you are not getting the exact number shown in options, please report the closest number). 30% 40% 15% 25%
Answer: 15%
These are Deep Learning For Computer Vision Week 3 Nptel Answers
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