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EndsemNov 20232019 patternBE IT

Deep Learning (DL) SPPU Endsem Question Paper Nov 2023

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated DL questions
Subject code
414443
Pattern
2019 pattern
Exam
Endsem
Session
Nov 2023
Max. marks
70
Time
2½ Hours
Semester
VII
Paper code
[6181]-193

Printed for: B.E. (Information Technology)

Instructions to the candidates

  1. Answer 1/2,3/4, 5/6, 7/8 questions.
  2. Assume Suitable data jf necessary.
  3. Neat diagrams must be drawn wherever necessary.
  4. Figures to the right side indicate full marks.

Questions

  1. Q1

    1. a)

      Discuss Feed-Forward Neural Networks vs Recurrent Neural Networks.

      Also asked:Nov 2024 ·May 2024 ·Nov 2022

      [8]
    2. b)

      Explain Recurrent Neural Networks and types of Recurrent Neural Networks.

      Also asked:Nov 2024 ·May 2024 ·Nov 2022

      [9]

  2. Q2

    1. a)

      Explain Long Short-Term Memory Networks (LSTM) in detail.

      Also asked:May 2024 ·May 2023 ·Nov 2022

      [8]
    2. b)

      Explain Encoder Decoder architectures, Recursive Neural Networks.

      [9]

  3. Q3

    1. a)

      Discuss different types of Applications of Autoencoders.

      [9]
    2. b)

      Describe Denoising Autoencoders, Contractive Autoencoders.

      [9]

  4. Q4

    1. a)

      Explain Regularized Autoencoders-Sparse Autoencoders.

      [9]
    2. b)

      State and explain Undercomplete Autoencoders.

      [9]

  5. Q5

    1. a)

      Discuss Greedy Layer wise Pre-training methods.

      Also asked:Nov 2025 ·May 2025

      [9]
    2. b)

      Explain Dense Net in detail. 2

      [9]

  6. Q6

    1. a)

      Elaborate Variants of CNN in detail.

      [9]
    2. b)

      Explain Transfer Learning and Domain Adaption.

      Also asked:Nov 2022

      [9]

  7. Q7

    1. a)

      Discuss Speech Recognition using Deep Learning.

      [9]
    2. b)

      Explain Recommender system in detail.

      [8]

  8. Q8

    1. a)

      What are Image Classification Techniques.

      [9]
    2. b)

      Explain Natural Language Processing in detail. 

      [8]