NPTEL Deep Learning Assignment 1 Answers 2024

NPTEL Deep Learning Assignment 1 Answers 2024

Hello learners In this article we are going to discuss NPTEL Deep Learning Assignment 1 Answers. All the Answers provided below to help the students as a reference, You must submit your assignment with your own knowledge and use this article as reference only.

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.

NPTEL Deep Learning Assignment 1 Answers 2024:

1. Which of the following is (are) region descriptor(s) ? Choose the correct option.
1) Fourier descriptor 1) co-occurrence matrix Ill) Intensity histogram IV) Signature

Answer :- Will update answers soon and update on our telegram channel so Join Click Here

2. Consider a two class Bayes” Minimum Risk Classitier. Probability of class w1 1s P (w1) =0.4. P (x|
wi1) = 0.65, P (x| w2) =0.5 and the loss matrix values are
Find the RiskR (a1|x).

Answer :-

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

Answer :- 

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

Answer :- 

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

Answer :- 

6. Signature descriptor of an unknown shape is given in the figure. If the value of k is 7 cm., what
is the area of the unknown shape

Answer :- 

7. Which or the Toliowing 1s not a Lo-occurrence matrix-basea aescriptors

Answer :- 

8. Given an image | (fig 1), The gray co-occurrence matrix C (fig 2) can be constructed 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’,’Y’ values in gray co-occurrence matrix are unknown.)

Answer :- 

9. What is the value of maximum probability descriptor?

Answer :- 

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

Answer:-