NPTEL Deep Learning Week 5 Assignment Answers 2023

## NPTEL Deep Learning Week 5 Assignment Answers 2023

1.

Answer:- a

2. What is the output of sigmoid function for an input with dynamic range [0, ∞]?

a. [0,1]

b. [-1,1]

c. [0.5, 1]

d. [0.25, 1]

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3.

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4. Which of the following are potential benefits of using ReLU activation over sigmoid activation?

a. ReLu helps in creating dense (most of the neurons are active) representations

b. ReLu helps in creating sparse (most of the neurons are non-active) representations

c. ReLu helps in mitigating vanishing gradient effect

d. Both (b) and (c)

Answer:-

5. Suppose a fully-connected neural network has a single hidden layer with 50 nodes. The input is represented by a 5D feature vector and we have a binary classification problem. Calculate the total number of parameters of the network. Consider there are NO bias nodes in the network.

а. 250

b. 120

с. 350

d. 300

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6. A 3-input neuron has weights 1.5, 0.5, 0.5. The transfer function is linear, with the constant of proportionality being equal to 2. The inputs are 6, 20, 4 respectively. The output will be:

a. 40

b. 42

с. 32

d. 12

Answer:-

7. You want to build a 5-class neural network classifier, given a leaf image, you want to classify which of the 5 leaf breeds it belongs to. Which among the 4 options would be an appropriate loss function to use for this task?

a. Cross Entropy Loss

b. MSE Loss

c. SSIM Loss

d. None of the above

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8.

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9.

Answer:-

10. Suppose a neural network has 3 input 3 nodes, x, y, z. There are 2 neurons, Q and F. Q = x + y and F = Q * z. What is the gradient of F with respect to x, y and z? Assume, (x, Y, z) = (-2, 5, -4).

a. (-4, 3, -3)

b. (-4, -4, 3)

c. (4,4, -3)

d. (3, 3, 4)

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