Consider a shallow neural network with a scalar input and a hidden layer with three neurons. The outputs of the hidden layer neurons are given by where denotes the activation function. The final output of the network is given by Suppose we multiply the parameters Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input Consider a shallow neural network with a scalar input

(A) The network output remains unchanged if the activation function used is ReLU for , . The network output remains unchanged if the activation function used is ReLU for , .

(B) The network output remains unchanged if the activation function used is ReLU for , . The network output remains unchanged if the activation function used is ReLU for , .

(C) The network output will be unchanged if the activation function used is sigmoid for . The network output will be unchanged if the activation function used is sigmoid for .

(D) After the transformation, the contribution to the output remains unchanged for all and for all . After the transformation, the contribution to the output remains unchanged for all and for all .

Deep Learning Quiz 1: 15 March 2026 (January 2026 term)

Question 1

+1 markOne correct option

THIS IS QUESTION PAPER FOR THE SUBJECT "DEGREE LEVEL : DEEP LEARNING (COMPUTER BASED EXAM)" ARE YOU SURE YOU HAVE TO WRITE EXAM FOR THIS SUBJECT? CROSS CHECK YOUR HALL TICKET TO CONFIRM THE SUBJECTS TO BE WRITTEN. (IF IT IS NOT THE CORRECT SUBJECT, PLS CHECK THE SECTION AT THE TOP FOR THE SUBJECTS REGISTERED BY YOU)

A
Yes
B
No

Question 2

+2 marksOne correct option

Which among the following is true for a McCulloch-Pitts (MP) neuron?

A
It can implement Boolean functions with a non-linear decision boundary.
B
It can implement linearly separable Boolean functions with a linear decision boundary.
C
It can be used to approximate a real-valued function.
D
It can accurately represent the XOR function by adjusting its weights and thresholds.

Question 3

+4 marksOne correct option

Consider a shallow neural network with a scalar input

and a hidden layer with three neurons. The outputs of the hidden layer neurons are given by

where

denotes the activation function. The final output of the network is given by

Suppose we multiply the parameters

Consider a shallow neural network with a scalar input

A
The network output remains unchanged if the activation function used is ReLU for , .
B
The network output remains unchanged if the activation function used is ReLU for , .
C
The network output will be unchanged if the activation function used is sigmoid for .
D
After the transformation, the contribution to the output remains unchanged for all and for all .

16 more questions in this paper

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More on the Deep Learning Quiz 1 15 Mar 2026 paper

The IIT Madras BS Deep Learning (Deep Learning) Quiz 1 paper sat on 15 Mar 2026, in the January 2026 term: 19 questions for 45 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.

Feature	Deep Learning Quiz 1 15 Mar 2026 at a glance
Term	January 2026 term
Subject	Deep Learning
Course code	BSCS3004
Questions	19
Marks	45
Duration	120 min
MCQ	8
MSQ	1
Written	10
Official paper	Deep Learning 15 Mar 26
Negative marking	No negative marking.
Updated	14 Sept 2026