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## NPTEL Deep Learning Week 1 Assignment Answers 2023

1. Signature descriptor of an unknown shape is given in the figure, can you identify the unknown shape?

- a. Circle
- b. Square
- c. Straight line
- d. Rectangle

Answer:-a. Circle

2. Signature descriptor of an unknown shape is given in the figure, If d (0) is measured in cm., what is the area of the unknown shape?

- a. 120 sq. cm.
- b. 144 sq. cm.
- c. 240 sq. cm.
- d. 100 sq. cm.

Answer:-Click Here

3. To measure the Smoothness, coarseness and regularity of a region we use which of the transformation to extract feature?

- Gabor Transformation
- Wavelet Transformation
- Both Gabor, and Wavelet Transformation.
- None of the Above.

Answer:-Wavelet Transformation

4. Given the 5 x 5 image I (fig 1), we can compute the gray co-occurrence matrix C (fig 2) by specifying the displacement vector d = (dx, dy). Let the position operator be specified as (1, 1), which has the interpretation: one pixel to the right and one pixel below. (Both the image and the partial gray co-occurrence is given in the figure 1, and 2 respectively. Blank values and ‘x’ value in gray co-occurrence matrix are unknown.)

What is the value of ‘x’?

- a. 0
- b. 1
- c. 2
- d. 3

Answer:-Click Here

5. Given the 5 x 5 image I (fig 1), we can compute the gray co-occurrence matrix by specifying the displacement vector d = (dx, dy). Let the position operator be specified as (1, 1), which has the interpretation: one pixel to the right and one pixel below. What is the value of maximum probability descriptor?

- a. 3/16
- b. 1/4
- c. 3/12
- d. 1/3

Answer:-Click Here

6. Which of the following is a region descriptor?

- a. Polygonal Representation
- b. Fourier descriptor
- c. Signature
- d. Intensity histogram.

Answer:-Click Here

7. We use gray co-occurrence matrix to extract which type of information?

- a. Boundary
- b. Texture
- c. MFCC
- d. Zero Crossing rate.

Answer:-Click Here

8. A single card is drawn from a standard deck of playing cards. What is the probability of that a heart is drawn or a 5? (Hints: A standard deck of 52 cards has 4 suits namely heart, spades, diamonds and clubs)

- a. 3/13
- b. 4/13
- c. 17/52
- d. 19/52

Answer:-Click Here

9. which of following is strictly true for a two-class problem Bayes minimum error classifier? (The two different classes are w1 and w2, and input feature vector is x)

- a. Choose w1 if P(x/wi) > P(x/w2)
- b. Choose w1 if P(w1)>P(w2)
- c. Choose w2 if P(w1/x)>P(w2/x)
- d. Choose w1 if P(w1/x)>P(w2/x)

10. Consider two class Bayes’ Minimum Risk Classifier. Probability of classes W1 and W2 are, P (w1) =0.2 and P (w2) =0.8 respectively. P (x| w1) = 0.75, P (x| w2) = 0.5 and the loss matrix values are

Answer:-Click Here

## Deep Learning **Assignment 1 Answers 202**2

**1. rom a pack of 52 cards, two cards are drawn together at random. What is the probability of both the cards being kings? **

a. 1/15

b. 25/57

c. 35/256

d. 1/221

Answer:-D

**2. For a two class problem Bayes minimum error classifier follows which of following rule? (The two different classes are wi and w2, and input feature vector is x) **

a. Choose wi if P(wı/x)> P{w2/x)

b. Choose w1 if P{w1)>P(w2)

c. Choose w2 if P(wi)<P(w2)

d. Choose w2 if P(wi/x)>P(w2/x)

Answer:-A

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**3. The texture of the region provides measure of which of the following properties? **

a. Smoothness alone

b. Coarseness alone

c. Regularity alone

d. Smoothness, coarseness and regularity

Answer:-D

**4. Why convolution neural network is taking oft quickly in recent times? (Check the options that are true.) **

a. Access to large amount of digitized data

b. Integration of feature extraction within the training process.

c. Availability of more computational power

d. All of the above.

Answer:-D

5.

Answer:-C

**6. Suppose Fourier descriptor of a shape has K coefticient, and we remove last few coetticient and use only first m (m<K) number of coefficient to reconstruct the shape. What will be effect of using truncated Fourier descriptor on the reconstructed shape **

a. We will get a smoothed boundary version of the shape.

b. We will get only the fine details of the boundary of the shape.

c. Full shape ill be reconstructed without any loss of information.

d. Low frequency component of the boundary will be removed from contour of the shape.

Answer:-A

👇**For Week 04 Assignment Answers**👇

**7. The plot of distance of the different boundary point from the centroid of the shape taken at various direction is known as **

a. Signature descriptor

b. Polygonal descriptor

c. Fourier descriptor.

d. Convex Hull

Answer:-A

**8. If the larger values of gray cO-occurrence matrix are concentrated around the main diagonal, then which one of the following will be true? **

a. The value of element difference moment will be high.

b. The value of inverse element difference moment will be high.

c. The value of entropy will be very low.

d. None of the above.

Answer:-D

**9. Which of the following is a Co-occurrence matrix based descriptor **

a. Entropy

b. Uniformity

C. Signature

d. Inverse Element difference moment.

e. All of the above.

Answer:-D

10.

Answer:-B

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**NPTEL Deep Learning Assignment 1 Answers 2021**

**NPTEL Deep Learning Assignment 1 Answers 2022:-** In This article, we have provided the answers of Deep Learning Assignment 1. You must submit your assignment to your own knowledge.

**Q1. Signature descriptor of an unknown shape is given in the figure, can you identify the unknown shape?**

a. circle

b. square

c. straight line

d. cannot be predicted

**Answer:-** **a) Circle**

**Q2. To measure the Smoothness, coarseness and regularity of a region we use which of the transformation to extract feature?**

a. Gabor Transformation

b. Wavelet Transformation

c. Both Gabor, and Wavelet Transformation.

d. None of the Above

**Answer:-** **c) Both Gabor, and Wavelet Transformation**

**Q3. Suppose Fourier descriptor of a shape has K coefficient, and we remove last few coefficient and use only first m (m<K) number of coefficient to reconstruct the shape. What will be effect of using truncated Fourier descriptor on the reconstructed shape?**

a. We will get a smoothed boundary version of the shape.

b. We will get only the fine details of the boundary of the shape.

c. Full shape will be reconstructed without any loss of information.

d. Low frequency component of the boundary will be removed from contour of the shape.

**Answer:-** **a) We will get a smoothed boundary version of the shape.**

**Q4. While computing polygonal descriptor of an arbitrary shape using splitting technique, which of the following we take as the starting guess?**

a. Vertex joining the two closet point above a threshold on the

b. Vertex joining the two farthest point on the boundary.

c. Vertex joining any two arbitrary point on the boundary.

d. None of the above.

**Answer:-** **b) Vertex joining the two farthest point on the boundary.**

**Q5. Consider two class Bayes’ Minimum Risk Classifier. Probability of classes W1 and W2 are, P(w1)=0.3 and P(w2)=0.7 respectively. P(x) = 0.545, P(x|w1)=0.65, P(x|w2)=0.5 and the loss matrix values are**

**Answer:-** For Answer Click Here

**Q6. The Fourier transformation of a complex sequence of number s(k) for k = 0, …, N – 1 is given by:**

**Answer:-** **Answer: c****)**

**Q7. The gray co-occurrence matrix C of an unknown image is given in below. What is the value of maximum probability descriptor?**

1 | 2 | 2 |

2 | 1 | 2 |

2 | 3 | 2 |

a. 3/17

b. 1/12

c. 3/16

d. 5/16

**Answer:-** **a) 3/17**

**Q8. Which of the following is not a boundary descriptor.**

a. Polygonal Representation

b. Fourier descriptor

c. Signature

d. Histogram.

**Answer:-** **d) Histogram**

**Q9. We use gray co-occurrence matrix to extract which type of information?**

a. Boundary

b. Texture

c. MFCC

d. Zero Crossing rate.

**Answer:-** **b) Texture**

**Q10. If the larger values of gray co-occurrence matrix are concentrated around the main diagonal, then which one of the following will be true?**

a. The value of element difference moment will be low.

b. The value of inverse element difference moment will be low.

c. The value of entropy will be very low.

d. None of the above.

**Answer:-** **a) The value of element difference moment will be low.**

**NPTEL Deep Learning Assignment 1 Answers 2022:-** In This article, we have provided the answers of Deep Learning Assignment 1. You must submit your assignment to your own knowledge.

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