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InsemMar 20242019 patternBE Comp

Deep Learning (DL) SPPU Insem Question Paper Mar 2024

All 4 questions from this SPPU insem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated DL questions
Subject code
410251
Pattern
2019 pattern
Exam
Insem
Session
Mar 2024
Max. marks
30
Time
1 Hour
Semester
VIII
Paper code
[6270]-51

Printed for: B.E. (Computer Engineering) (Insem)

Instructions to the candidates

  1. Answers Q.1 or Q.2, Q.3 or Q.4.
  2. Figures to the right side indicate full marks.
  3. Neat diagrams must be drawn wherever necessary.
  4. Make suitable assumption whenever necessary.

Questions

  1. Q1

    1. a)

      Give Co-relation between Artificial Intelligence, Machine Learning, and Deep Learning. Compare Supervised and Unsupervised Learning.

      Also asked:Feb 2023

      [5]
    2. b)

      What is Deep Learning? Enlist and Explain Challenges of the Deep Learning?

      [5]
    3. c)

      Enlist and Explain any four popular industrial tools used for Deep Learning.

      Also asked:Mar 2025 ·Feb 2023

      [5]

  2. Q2

    1. a)

      Explain how Deep Learning works in three figures with one example. Also Explain Common architectural principles of Deep Network.

      Also asked:Mar 2025 ·Feb 2023

      [5]
    2. b)

      Write Short note on: Bias, Variance and Tradeoff.

      Also asked:Mar 2025

      [5]
    3. c)

      Enlist and Explain any four real life applications of Deep Learning.

      [5]

  3. Q3

    1. a)

      What is Perceptron? Write short note on Multilayer Feed-Forward network with figure

      [5]
    2. b)

      Enlist and Explain Different Loss functions used in Neural Network.

      [5]
    3. c)

      Write short note on PyTorch and Colab. 2

      [5]

  4. Q4

    1. a)

      Compare Back Propagation and Forward Propagation.

      [5]
    2. b)

      What is Activation Function? Enlist and Explain different Activation functions used in Neural Network.

      [5]
    3. c)

      Explain Sentimental Analysis and Its types. 

      [5]