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DL for CV · CNN layers & architectures

25 questions · 45 marks · 4 papers

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Deep Learning for Computer Vision

CNN layers & architectures

Official Paper

Examination Instructions & Guidelines

Solve on notebook/paper first before checking solutions.
MCQ: Exactly 1 option is correct. Negative marking applies.
MSQ: One or more options correct. Select all to score.
NAT: Numerical response. No negative marking.
Scientific calculator allowed for all calculations.
Official answer key is sealed at the end of this sheet.

Quiz 1 · 26 Oct 2025 (AN)Quiz 1

Q1MCQ2 Marks·Choose one option
Key ↓
An RGB image goes through Conv layer: 64 kernels of size 7 x 7, stride 2, then MaxPool 3 x 3, stride 2. The receptive field of a pooling-layer neuron is:
1. A7 x 7
2. B9 x 9
3. C11 x 11
4. D13 x 13
Q2MSQ3 Marks·Choose all correct options
Key ↓
Which statements are true? (Select all that apply)
1. A
2. B
3. C
4. D
Q3NAT3 Marks·Write the number
Key ↓
Your answer:
Q4NAT3 Marks·Write the number
Asked 3 times Key ↓
Two successive convolutions each with: kernel 7 x 7, padding 3, stride 2. Input is 100 x 100. The final feature-map side length F is _________________.
Your answer:
Q5NAT3 Marks·Write the number
Asked 2 times Key ↓
Your answer:

End Term · 31 Aug 2025 (FN)End Term

Q6MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. AOnly statement P is true
2. BOnly statement Q is true
3. CBoth statements are true
4. DNone of these statements is true
Q7NAT2 Marks·Write the number
Asked 3 times Key ↓
Your answer:
Read the passage below, then answer Q8–Q11
Based on the above data, answer the given subquestions.
Q8NAT1 Mark·Write the number
Key ↓
Element 1: _______________
Your answer:
Q9NAT1 Mark·Write the number
Key ↓
Element 2: _______________
Your answer:
Q10NAT1 Mark·Write the number
Key ↓
Element 3: _______________
Your answer:
Q11NAT1 Mark·Write the number
Key ↓
Element 4: _______________
Your answer:

End Term · 31 Aug 2025 (AN)End Term

Q12NAT2 Marks·Write the number
Asked 3 times Key ↓
What is the size of the feature map after applying two successive convolution operations with given parameters? Image size = 72×72, Kernel size = 5×5, Padding = 2 and Stride = 3. (In calculation, take floor(x) whenever x is non-integer.If the answer is N × N, write just one value N in the blank) __________________ .
Your answer:
Read the passage below, then answer Q13–Q16
Based on the above data, answer the given subquestions.
Q13NAT2 Marks·Write the number
Key ↓
Element 1:___________
Your answer:
Q14NAT2 Marks·Write the number
Key ↓
Element 2:___________
Your answer:
Q15NAT1 Mark·Write the number
Key ↓
Element 3:___________
Your answer:
Q16NAT1 Mark·Write the number
Key ↓
Element 4:___________
Your answer:

Quiz 2 · 3 Aug 2025 (AN)Quiz 2

Q17MCQ2 Marks·Choose one option
Key ↓
1. A
2. B
3. C
4. D
Q18MCQ2 Marks·Choose one option
Asked 2 times Key ↓
Consider the following statements P and Q regarding AlexNet and choose the correct option: (P) In AlexNet, a trainable Local Response Normalization Layers were introduced to emulate the competitive nature of real neurons, where highly active neurons suppress the activity of neighboring neurons, creating competition among different kernel outputs. (Q) In AlexNet, a total of 8 Convolutional layers contain only about 6-7% of the total parameters hence account for the least computation.
1. AOnly statement P is true
2. BOnly statement Q is true
3. CBoth statements are true
4. DNone of these statements is true
Q19MSQ3 Marks·Choose all correct options
Key ↓
Which of the following are true:
1. A
2. B
3. C
4. D
Read the passage below, then answer Q20–Q21
Let input have size D_f × D_f × M where D_f = 10 and M = 256 and output feature map (after passing input through conv layer) has D_f × D_f × N size where N = 512. Assume padded convolution. Let width of the square kernel in conv layer be k where k = 7 (Ignore the bias term in the calculation). Calculate the number of parameters and computational cost for this convolution layer. Based on the above data, answer the given subquestions.
Q20NAT2 Marks·Write the number
Asked 2 times Key ↓
Number of Parameters:_____________
Your answer:
Q21NAT2 Marks·Write the number
Key ↓
Computational Cost:___________________
Your answer:
Read the passage below, then answer Q22–Q25
Let input have size D_f × D_f × M where D_f = 10 and M = 256 and output feature map (after passing input through conv layer) has D_f × D_f × N size where N = 512. Assume padded convolution. Let width of the square kernel in conv layer be k where k = 7 (Ignore the bias term in the calculation), calculate the number of parameters and computational cost, but make use of Depthwise Seperable convolution and pointwise convolution instead of standard convolution. Based on the above data, answer the given subquestions.
Q22NAT1 Mark·Write the number
Key ↓
Number of parameters for depthwise seperable convolution:_______________
Your answer:
Q23NAT1 Mark·Write the number
Key ↓
Computational Cost for depthwise seperable convolution:____________________
Your answer:
Q24NAT1 Mark·Write the number
Key ↓
Number of parameters for pointwise convolution:___________________
Your answer:
Q25NAT1 Mark·Write the number
Key ↓
Computational cost for pointwise convolution:__________________
Your answer:

Official Key

Master Answer Key & Explanations

Official answer keys from IIT Madras BS past papers. Click any question to review.

Reveal Key

Q1C

Q2A, B, C, D

Q328

Q425

Q573728

Q6A

Q7100

Q80.54

Q90.25

Q100.19

Q110.58

Q128

Q130.49

Q140.55

Q150.1

Q160.5

Q17D

Q18D

Q19B, D

Q206422528

Q21642252800

Q2212544

Q231254400

Q24131072

Q2513107200

Questions and answer keys are reproduced from the official IIT Madras BS papers. Topics and repeated question types are BTechi’s own grouping. BTechi is not affiliated with IIT Madras.