You are training an RNN-based text classification model with the following three sequences: Sequence 1: "I love deep learning" → 4 tokens Sequence 2: "NLP is great" → 3 tokens Sequence 3: "AI" → 1 token Under which training scenario is padding NOT strictly required for processing these sequences?

(B) Using stochastic gradient descent (SGD) with batch size = 1

(A) Using mini-batch gradient descent with batch size = 32

(C) Using batch gradient descent processing all samples at once

(D) Using mini-batch gradient descent with batch size = 16

Introduction to Deep Learning and Generative AI · Quiz 2 · 23 Nov 2025 · September 2025 term

Question 24: You are training an RNN-based text classification model …

Question 24

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You are training an RNN-based text classification model with the following three sequences:

text

1Sequence 1: "I love deep learning"     → 4 tokens
2Sequence 2: "NLP is great"             → 3 tokens
3Sequence 3: "AI"                       → 1 token

Under which training scenario is padding NOT strictly required for processing these sequences?

A
Using mini-batch gradient descent with batch size = 32
B
Using stochastic gradient descent (SGD) with batch size = 1
C
Using batch gradient descent processing all samples at once
D
Using mini-batch gradient descent with batch size = 16

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Correct answer

B
Using stochastic gradient descent (SGD) with batch size = 1

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Question 24 of 25 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) Quiz 2 paper sat on 23 Nov 2025, in the September 2025 term (IIT M DIPLOMA AN EXAM QDD2 23 Nov 2025 NEW). It carries 2 marks.

Question 24: You are training an RNN-based text classification model …

Question 24

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