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Deep Learning · Convolutional neural networks

14 questions · 34 marks · 4 papers

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Deep Learning

Convolutional neural networks

Official Paper

Examination Instructions & Guidelines

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

End Term · 31 Aug 2025 (FN)End Term

Read the passage below, then answer Q1–Q3
Based on the above data, answer the given subquestions.
Q1MCQ2 Marks·Choose one option
Asked 2 times Key ↓
What is the output of the convolution layer after applying ReLU?
1. A
2. B
3. C
4. D
Q2NAT1 Mark·Write the number
Asked 2 times Key ↓
Your answer:
Q3NAT2 Marks·Write the number
Asked 3 times Key ↓
Your answer:

End Term · 31 Aug 2025 (AN)End Term

Q4NAT3 Marks·Write the number
Asked 3 times Key ↓
Your answer:

Quiz 2 · 3 Aug 2025 (AN)Quiz 2

Read the passage below, then answer Q5–Q7
The input volume to a convolutional layer of a CNN has shape 64 × 64 × 8, where 8 is the depth or the number of channels. The conv-layer has 16 kernels each of spatial extent 5 × 5. The stride is 1 and padding is 2. Ignore biases.
Based on the above data, answer the given subquestions.
Q5MCQ3 Marks·Choose one option
Asked 2 times Key ↓
Which of these is the shape of the output volume after the convolution operation?
1. A64 × 64 × 16
2. B62 × 62 × 16
3. C64 × 64 × 8
4. D32 × 32 × 8
5. E32 × 32 × 16
Q6NAT3 Marks·Write the number
Asked 2 times Key ↓
Find the total number of parameters associated with the convolutional layer.
Your answer:
Q7MCQ3 Marks·Choose one option
Key ↓
If the input volume to the convolutional layer is 128 × 128 × 8, would the number of parameters associated with the conv layer change?
1. AYes, it will double.
2. BYes, it will halve.
3. CYes, it will quadrapule.
4. DNo, it will remain the same.
Read the passage below, then answer Q8–Q10
For a regression problem, consider an image X of size 4×4 and true label y that is passed through a toy convolutional network that has one convolutional layer with a single kernel followed by a max- pooling layer. Ignore the bias.
W denotes the kernel. S is the stride. P is the padding and K is the number of kernels. F is the spatial extent of the kernel for the max-pooling operation.
Based on the above data, answer the given subquestions.
Q8MCQ3 Marks·Choose one option
Asked 2 times Key ↓
Which of the following is the output produced by the conv+relu layer?
1. A
2. B
3. C
4. D
Q9NAT3 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q10NAT4 Marks·Write the number
Asked 3 times Key ↓
Your answer:

End Term · 13 Apr 2025 (AN)End Term

Q11NAT3 Marks·Write the number
Asked 2 times Key ↓
The input volume to a convolutional layer is 100×100×5. If ten kernels, each of size 9 × 9, with unit stride are applied over this volume, what should be the padding so that the output volume has dimensions 100 × 100 × 10? Note that you should enter the value of P as per the convention we have been following.
Your answer:
Read the passage below, then answer Q12–Q14
Based on the above data, answer the given subquestions.
Q12NAT1 Mark·Write the number
Asked 2 times Key ↓
Find the number of parameters associated with the layer “Convolution-2” that are required to transform V_2 to V_3. Ignore biases.
Your answer:
Q13MCQ1 Mark·Choose one option
Key ↓
Which of the following corresponds to V_4, the activation volume output by the layer “MaxPooling- 2”?
1. A16 × 16 × 12
2. B8 × 8 × 12
3. C32 × 32 × 8
4. D16 × 16 × 6
Q14MCQ2 Marks·Choose one option
Key ↓
The parameters associated with the fully connected layers, namely “FC- 1” and “Output”, represent what percentage of the total number of parameters in the network? The answer should be rounded off to the nearest integer. Ignore biases.
1. A98%
2. B85%
3. C50%
4. D10%

Official Key

Master Answer Key & Explanations

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

Reveal Key

Q1B

Q26

Q36

Q41 to 2

Q5A

Q63200

Q7D

Q8A

Q95

Q102

Q114

Q12648

Q13A

Q14A

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