NPTEL Deep Learning For Visual Computing Week 1 Assignment Answers 2025
1. Which of the following is/ are a statistical texture metric?
i. Co-occurrence matrix
ii. Local Binary Pattern (LBP)
iii. Fourier Coefficient
iv. Orientation Histogram
a. only i
b. only iv
c. both i and ii
d. both i and iv
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2.
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3.
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4. How many learnable parameters are in a fully connected neural network with 20 input neurons, 10 hidden neurons, and 2 output neurons, if each neuron in the hidden and output layers includes a bias term?
a. 220
b. 230
c. 232
d. 440
Answer :-
5. If the input to the sigmoid function o) is 2, what is the output of the sigmoid function?
a. 0.8808
b. 0.7311
c. 0.1192
d. 0.9502
Answer :-
6. Which of the following indicates the location of the kernel in Gabor wavelets?
a. Standard deviation of Gaussian
b. Centroid of receptive field
c. Spatial frequency
d. None of the above
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7. Consider a Gabor wavelet with the standard deviation of the Gaussian o = 1.0, the frequency of
the sinusoidal wave fo = 0.5, and spatial coordinates x = 2 and y = 1. Calculate the value of the
Gabor wavelet at the point (2 = 2, y = 1).
a. 0.0821
b. 0.2976
c. 0.0567
d. 0.4780
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8. Which among the following is an edge wavelet?
a. [-1,2,0, —2, 1]
b. [-1, -2, 0, 2, 1]
с. [-1,0,2,0, — 1]
d. (1,4, 6, 4, 1]
Answer :-
9. Which among the following is an activation function? A – Mean Square Error, B – Softmax, C –
ReLU, D – Cross Entropy
Choose the correct option:
a. Only A & D but not B & C
b. Only B & C but not A & D
c. Only B & D but not A & C
d. Only A & C but not B & D
Answer :-
10. What is the term used to refer to local variations in intensity due to surface/tissue heterogeneity?
a. Contrast
b. Highlights
c. Noise
d. Texture
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