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DL & GenAI · Parameter counts, CNNs & Inception

8 questions · 17 marks · 1 paper

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Introduction to Deep Learning and Generative AI

Parameter counts, CNNs & Inception

Official Paper

Examination Instructions & Guidelines

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

Useful Reference Data for this Paper
Note: In all the questions, assume necessary imports wherever applicable.
Q1NAT2 Marks·Write the number
Key ↓
Your answer:
Read the passage below, then answer Q2–Q5
Based on the above data, answer the given subquestions.
Q2NAT3 Marks·Write the number
Key ↓
How many trainable parameters are there in the first convolutional layer including bias (conv1)?
Your answer:
Q3NAT1 Mark·Write the number
Key ↓
What is the total number of trainable parameters in the pooling layers(pool1 and pool2)?
Your answer:
Q4NAT1 Mark·Write the number
Key ↓
How many parameters (weights and biases) does the first fully connected layer (fc1) have?
Your answer:
Q5NAT1 Mark·Write the number
Key ↓
What is the total number of convolution filters used in this CNN?
Your answer:
Read the passage below, then answer Q6–Q8
Based on the above data, answer the given subquestions.
Q6NAT3 Marks·Write the number
Key ↓
Your answer:
Q7NAT3 Marks·Write the number
Key ↓
Your answer:
Q8NAT3 Marks·Write the number
Key ↓
Your answer:

Official Key

Master Answer Key & Explanations

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

Reveal Key

Q159

Q280

Q30

Q4100480

Q524

Q61

Q72

Q8192

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