Deep Learning Week 7 Nptel Assignment Answers

Last updated: March 8, 2025

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NPTEL Deep Learning Week 7 Assignment 7 Answers (Jan-Apr 2025)

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Select the correct option about Sparse Autoencoder?
Statement 1: Sparse autoencoders introduces information bottleneck by reducing the number of nodes at hidden layers
Statement 2: The idea is to encourage network to learn an encoding and decoding which only relies on activating a small number of neurons
a) Both the statements are true
b) Statement 1 is true, but Statement 2 is false
c) Statement 1 is false, but statement 2 is true
d) Both the statements are false

Select the correct option about Denoising autoencoders?
Statement A: The loss is between the original input and the reconstruction from a noisy version of the input
Statement B: Denoising autoencoders can be used as a tool for feature extraction.
a) Both the statements are false
b) Statement A is false but Statement B is true
c) Statement A is true but Statement B is false
d) Both the statements are true

NPTEL Deep Learning Week 7 Assignment 7 Answers (Jan-Apr 2025)

Which of the following autoencoder methods uses corrupted versions of the input?
a) Overcomplete design
b) Undercomplete Design
c) Sparse Design
d) Denoising Design

Which of the following autoencoder methods uses a hidden layer with fewer units than the input layer?
a) Overcomplete design
b) Undercomplete Design
c) Sparse Design
d) Denoising Design

NPTEL Deep Learning Week 7 Assignment 7 Answers (Jan-Apr 2025)

Which of the following is false about autoencoder?
a) Autoencoders possesses generalization capabilities
b) Autoencoders are best suited for image captioning task
c) Its objective is to minimize the reconstruction loss so that output is similar to input
d) It compresses the input into a latent space representation and then reconstruct the output from it

Find the value of d(t — 34) * x(t + 56); d(t) being the delta function and * being the convolution operation.
a) x(t+56)
b) x(t+32)
c) x(t+22)
d) x(t-56)

Impulse response is the output of time=0. Fill in the blanks from the options below.
System due to impulse input applied at:
a) Linear
b) Time Varying
c) Time Invariant
d) Linear And Time Invariant

NPTEL Deep Learning Week 7 Assignment 7 Answers (Jan-Apr 2025)

Convolution of an input with the system impulse function gives the output of a system. Fill in the blanks.
a) Linear Time Invariant
b) Non-linear system
c) Time Invariant system
d) None of the above

Given the image below where, Row 1: Original Input, Row 2: Noisy input, Row 3: Reconstructed output. Choose one of the following variants of autoencoder that is most suited to get Row 3 from Row 2.
a) Stacked autoencoder
b) Sparse autoencoder
c) Denoising autoencoder
d) None of the above

Which of the following is true for Contractive Autoencoders?
a) Penalizing instances where a small change in the input leads to a large change in the encoding space
b) Penalizing instances where a large change in the input leads to a small change in the encoding space
c) Penalizing instances where a small change in the input leads to a small change in the encoding space
d) None of the above

These are NPTEL Deep Learning Week 7 Assignment 7 Answers

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