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NPTEL Deep Learning Assignment 1 Answers 2023
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
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
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 Signature
d. Inverse Element difference moment.
e. All of the above.
Answer:- D
10.
Answer:- B
ABOUT THE COURSE :
The availability of huge volume of Image and Video data over the internet has made the problem of data analysis and interpretation a really challenging task. Deep Learning has proved itself to be a possible solution to such Computer Vision tasks. Not only in Computer Vision, Deep Learning techniques are also widely applied in Natural Language Processing tasks. In this course we will start with traditional Machine Learning approaches, e.g. Bayesian Classification, Multilayer Perceptron etc. and then move to modern Deep Learning architectures like Convolutional Neural Networks, Autoencoders etc. On completion of the course students will acquire the knowledge of applying Deep Learning techniques to solve various real life problems.
CRITERIA TO GET A CERTIFICATE
Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.