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`