NPTEL Deep Learning – IIT Ropar Week 3 Assignment Answers 2024

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NPTEL Deep Learning – IIT Ropar Week 3 Assignment Answers 2024

NPTEL Deep Learning - IIT Ropar Week 3 Assignment Answers 2024

1. What is the total number of parameters in the following network?

  • 15
  • 7
  • 9
  • 17
Answer :-  For Answer Click Here

2. What is the predicted output for the given input x1 after doing the forward pass? (Choose the option closest to your answer)

  • 7.33
  • 6.92
  • 6.31
  • 8
Answer :-  For Answer Click Here

3. Compute and enter the loss between the output generated by input x and the true output y.(NAT)

Answer :-  For Answer Click Here

4. If we call the predicted y as y^ then what is the gradient dL/dy^? (L is the loss function)

  • -5.17
  • -7.52
  • -6.15
  • -7.15
Answer :- 

5. What is the sum of elements of ∇ω3? (Choose the closest value to your answer)

  • -12.9
  • -11.6
  • -10.07
  • -12.14
Answer :- 

6. What is the sum of elements of ∇ω2?

Answer :-  For Answer Click Here

7. What is the sum of elements of ∇ω2?

Answer :- 

8. he probability of all the events x1,x2,x2….xn in a system is equal (n>1). What can you say about the entropy H(X) of that system?(base of log is 2)

  • H(X)≤1
  • H(X)=1
  • H(X)≥1
  • We can’t say anything conclusive with the provided information
Answer :- 

9. Let p and q be two probability distributions. Under what conditions will the cross entropy between p and q be minimized?

  • p=q
  • All the values in p are lower than corresponding values in q
  • All the values in p are lower than corresponding values in 
  • q = 0 [0 is a vector]
Answer :- 

10. Suppose we have a problem where data x and label y are related by y=x2+1. Which of thefollowing is not a good choice for the activation function in the hidden layer if the activation function at the output layer is linear?

  • Linear
  • Relu
  • Sigmoid
  • Tan−1(x)
Answer :- For Answer Click Here