Are you looking for the Deep Learning IIT Ropar Week 5 NPTEL Assignment Answers 2024 (July-Dec)? You’ve come to the right place! Access the most accurate and up-to-date solutions for your Week 5 assignment in the Deep Learning course offered by IIT Ropar.
1. Which of the following is a measure of the amount of variance explained by a principal component in PCA?
a) Covariance b) Correlation c) Mean absolute deviation d) Eigenvalue
Answer:d) Eigenvalue
2. What is/are the limitations of PCA?
a) It is computationally less efficient than autoencoders b) It can only reduce the dimensionality of a dataset by a fixed amount. c) It can only identify linear relationships in the data. d) It can be sensitive to outliers in the data.
Answer:d) It can be sensitive to outliers in the data.
3. Which of the following is a property of eigenvalues of a symmetric matrix?
a) Eigenvalues are always positive b) Eigenvalues are always negative c) Eigenvalues are always real d) Eigenvalues can be complex numbers with imaginary parts non-zero
Answer:c) Eigenvalues are always real
4. The eigenvalues of A are 3, 4. Which of the following are the eigenvalues of A³?
a) 3, 4 b) 9, 16 c) 27, 64 d) √3, √4
Answer:b) 9, 16
5. If we have a 12×12 matrix having entries from R, how many linearly independent eigenvectors corresponding to real eigenvalues are possible for this matrix?
