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Deep Learning · Gradient descent & optimizers

10 questions · 27 marks · 5 papers

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Deep Learning

Gradient descent & optimizers

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

Q1MCQ3 Marks·Choose one option
Asked 2 times Key ↓
1. AA → 0.01 , B → 0.001 , C → 1.0
2. BA → 0.001 , B → 0.01 , C → 1.0
3. CA → 1.0 , B → 0.001 , C → 0.01
4. DA → 0.01 , B → 1.0 , C → 0.001
Q2MCQ3 Marks·Choose one option
Key ↓
A data scientist is training a deep learning model on a massive dataset containing billions of data points. They find that using traditional Batch Gradient Descent (GD) is computationally infeasible. What is the primary reason that makes Batch GD impractical for this task, thus requiring an alternative like Stochastic Gradient Descent (SGD)?
1. AIt is impossible to fit the entire large dataset into the computer’s memory (RAM) at once.
2. BThe gradient calculated by Batch GD is often too noisy and inaccurate, leading to poor convergence.
3. CBatch GD is guaranteed to get stuck in sharp local minima, whereas SGD can escape them.
4. DBatch GD requires calculating the gradient of the loss function with respect to the parameters over the entire dataset for a single update, which is computationally very expensive.
Q3MCQ3 Marks·Choose one option
Key ↓
1. A
2. B
3. C
4. D
Q4NAT4 Marks·Write the number
Key ↓
Your answer:

End Term · 31 Aug 2025 (FN)End Term

Q5MSQ3 Marks·Choose all correct options
Key ↓
1. A
2. B
3. C
4. D
5. E
6. F

End Term · 31 Aug 2025 (AN)End Term

Q6MSQ2 Marks·Choose all correct options
Key ↓
1. A
2. B
3. C
4. D
5. E

Quiz 2 · 3 Aug 2025 (AN)Quiz 2

Q7MSQ3 Marks·Choose all correct options
Key ↓
Which of the following optimizers use an adaptive learning rate?
1. AADAM
2. BRMSprop
3. CMomentum based GD
4. DNesterov accelerated gradient descent

End Term · 13 Apr 2025 (AN)End Term

Read the passage below, then answer Q8–Q10
Based on the above data, answer the given subquestions.
Q8MCQ2 Marks·Choose one option
Asked 2 times Key ↓
Which of these is the correct ordering among the learning rates?
1. A
2. B
3. C
4. D
Q9MCQ2 Marks·Choose one option
Key ↓
1. A0.5
2. B0.9
3. C0.1
4. D1
Q10NAT2 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

Q1B

Q2D

Q3B

Q4-2.72 to -2.64

Q5A, B, C

Q6C, E

Q7A, B

Q8A

Q9A

Q100.54 to 0.64

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.