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Deep Learning End Term: 3 September 2023, Set QPE1-S2 (May 2023 term)

Question 1

+2 marksOne correct option
  1. A

    0

  2. B

    1

  3. C

    9

  4. D

    10

Question 2

+2 marksOne correct option

Consider the statement “the attention mechanism in RNN based Encoder- Decoder architecture helps the decoder to understand the context of words in a given sentence”. The statement is

  1. A

    True

  2. B

    False

Also asked in End Term 3 Sept 2023

Question 3

+3 marksOne or more correct options

Select all that apply.

  1. A
  2. B
  3. C
  4. D

14 more questions in this paper

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More on the Deep Learning End Term 3 Sept 2023 Set QPE1-S2 paper

The IIT Madras BS Deep Learning (Deep Learning) End Term paper sat on 3 Sept 2023, in the May 2023 term, set QPE1-S2: 17 questions for 50 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.

FeatureDeep Learning End Term 3 Sept 2023 Set QPE1-S2 at a glance
TermMay 2023 term
SubjectDeep Learning
Course codeBSCS3004
Questions17
Marks50
Duration180 min
MCQ5
MSQ4
Numerical8
Official paperIIT M DEGREE ET1 EXAM QPE1 S2 03 Sep
Negative markingNo negative marking.
Updated

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