B.TechSemester 72022-23Deep LearningKCS078
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Deep Learning (KCS078) - AKTU Question Paper 2022-23

B.Tech · Semester 7 · Free PDF Download

This is the official AKTU Deep Learning Previous Year Question Paper for B.Tech Semester 7, academic session 2022-23. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 7
Session:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Deep Learning (KCS078) — complete question paper

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    What are the applicati ons of Machine Learning?
  • b
    Describe the B oltzmann Machine
  • c
    Is it possible to build deep learning models based solely o n linear regression? Explain
  • d
    Define the different layers of a convolutional neural network
  • e
    Explain the linear models
  • f
    Why is it important to introduc e non-linearities in a neural network?
  • g
    What are the limitations of using a perceptron?
  • h
    Why do we use convolutions for images instead of using fully connected layers?` (i) Why are GPUs important for i mplementing deep learning models? (j) Which is the best algorithm for face detection ?
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Difference between Deep and Shallow Network
  • b
    Draw and explain the architecture of Convolutional Networks
  • c
    Why CNN is preferred over ANN for Image Classification task s even though it is possible to solve image classification using ANN?
  • d
    Explain LSTM (Long Short Term Memory ). Give some famous applications of LSTM
  • e
    Explain Image Captioning in Deep Learning
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    Explain the difference between Gradient Descent and Stochas tic Gradient Descent
  • b
    ExplainGAN and its models. Name and describe different types of GANs
  • a
    Examine the Semi –Supervised learning
  • b
    Demonstrate deep learning . Explain its uses, application and history
  • a
    Explain Back propaga tion with its algorithm
  • b
    Write short notes :- i) Deep Reinforcement ii) Autoencoder Architecture iii) VGG iv) SOA
  • a
    Compare PCA (Principle C omponent Analysis ) and RNN
  • b
    Discuss how batch gradient descent and stochastic gradient descent are different
  • a
    Demonstrate how the privacy will be affected when facial re cognition gets used by private companies?
  • b
    How AI and Neuroscience driv e each other forwards? Explain

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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