Consider the following code: import torch import torch.nn as nn model = nn.Sequential( nn.Linear(10, 10), nn.BatchNorm1d(10), nn.ReLU(), nn.Dropout(p=0.5), nn.Linear(10, 1) ) X = torch.randn(4, 10) # Run in training mode model.train() out_train = model(X) # Run in evaluation mode model.eval() out_eval = model(X) print(out_train) print(out_eval) Removing which of the following layers will make out_train and out_eval identical for the same input?

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Introduction to Deep Learning and Generative AI · Quiz 1 · 26 Oct 2025 · September 2025 term

Question 8: Consider the following code: Removing which of the follow…

Question 8

+3 marksOne correct option

Consider the following code:

python

1import torch
2import torch.nn as nn
3
4model = nn.Sequential(
5    nn.Linear(10, 10),
6    nn.BatchNorm1d(10),
7    nn.ReLU(),
8    nn.Dropout(p=0.5),
9    nn.Linear(10, 1)
10)
11X = torch.randn(4, 10)
12
13# Run in training mode
14model.train()
15out_train = model(X)
16
17# Run in evaluation mode
18model.eval()
19out_eval = model(X)
20
21print(out_train)
22print(out_eval)

Removing which of the following layers will make out_train and out_eval identical for the same input?

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Question 8 of 20 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) Quiz 1 paper sat on 26 Oct 2025, in the September 2025 term (IIT M DIPLOMA AN EXAM QDD2 26 Oct 2025). It carries 3 marks.

Question 8: Consider the following code: Removing which of the follow…

Question 8

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