Deep Learning and GenAI End Term: 21 December 2025 (September 2025 term)

Question 1

+3 marksOne correct option

You are training an artificial neural network (ANN) for a regression task to predict house prices. After inspecting the target variable (price) in your dataset, you observe that while most prices fall within a predictable range, there are a handful of extremely expensive mansions and a few properties sold under unusual circumstances that represent severe outliers. Your primary goal is to build a model that performs well on typical houses without letting its predictions be overly influenced by these rare, extreme values. You also desire smoother convergence during training. Which loss function should you primarily consider for this task?

A
Mean Squared Error
B
Sum of Squared Errors
C
Huber Loss
D
Binary Cross-Entropy Loss

Question 2

+5 marksNumerical answer

Question 3

+3 marksOne or more correct options

Which of the following are true about encoding categories?

Select all that apply.

A
One-hot encoding represents each class as a dense vector that captures semantic relationships.
B
Embedding layers always assign a fixed manually-defined vector to each class.
C
For any two distinct categories represented using one-hot encoding, the dot product between their vectors is always 0 .
D
For any two distinct categories represented using one-hot encoding, the Euclidean distance between their vectors is always 1 .
E
Embedding layers learn meaningful dense vectors where similar concepts have similar representations.

27 more questions in this paper

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More on the Deep Learning and GenAI End Term 21 Dec 2025 paper

The IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) End Term paper sat on 21 Dec 2025, in the September 2025 term: 30 questions for 97 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.

Feature	Deep Learning and GenAI End Term 21 Dec 2025 at a glance
Term	September 2025 term
Subject	Introduction to Deep Learning and Generative AI
Course code	BSDA2001
Questions	30
Marks	97
Duration	180 min
MCQ	21
Numerical	7
MSQ	2
Official paper	Introduction To Deep Learning And Generative Ai 18 Dec 25
Negative marking	No negative marking.
Updated	25 Sept 2026