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Deep Learning Exam for CSE Students

The document appears to be an exam for a deep learning course. It contains 3 sections with multiple choice and written questions about topics like the definition of deep learning, artificial neurons, activation functions, the differences between machine learning and deep learning and between shallow and deep neural networks, the history of deep learning, multilayer perceptrons, applications of deep learning, loss functions, and convolutional neural networks.

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Hare Ram Singh
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111 views1 page

Deep Learning Exam for CSE Students

The document appears to be an exam for a deep learning course. It contains 3 sections with multiple choice and written questions about topics like the definition of deep learning, artificial neurons, activation functions, the differences between machine learning and deep learning and between shallow and deep neural networks, the history of deep learning, multilayer perceptrons, applications of deep learning, loss functions, and convolutional neural networks.

Uploaded by

Hare Ram Singh
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as DOCX, PDF, TXT or read online on Scribd
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UNIVERSITY

ROLL No.

1st CLASS TEST, SESSION 2022- 2023 (7th SEM.)


DEPTT:- CSE
YEAR:-B.TECH- IV Yr (7th SEMESTER)
SUBJECT NAME :- Deep Learning ( SUBJECT CODE:- KCS 078 )
TIME: 1.30 Hour MAX MARKS: 30
Note: Answer all questions. Draw neat sketch, wherever necessary. Suitably assume missing data, if any.

SECTION A
Question 1: Attempt all parts in brief. [1X5=5]
[CO1], KL1
a. Define Deep learning . 1
[CO1], KL2
b. What is Artificial Neuron? 1
[CO1], KL3
c. Define activation Function. 1
[CO1], KL2
d. Differentiate between Machine learning & Deep learning. 1
[CO1], KL2
e. Differentiate between Shallow neural Network & Deep Neural Network. 1
SECTION B
Question 2: Attempt any 05 out of the following. [3X5=15]
a. Give brief historical background of deep learning 3 [CO1], KL2

b. Differentiate between biological neuron & artificial neuron. 3 [CO1], KL2

Explain multilayer perception( MLP). [CO1],


c. 3 KL15

d. Explain the different components present in digital computer? 3 [CO1], KL1

e. Explain various application of Deep learning. 3 [CO1], KL1

f. Brief Explain about loss function in neural network. 3 [CO], KL2

g. What is Cost Function? Explain. 3 [CO], KL2

SECTION C
Question 3: Attempt any 02 out of the following. [5X2=10]

a. Explain in detail about CNN model. 5 [CO1], KL4

b. Explain back propagation model. 5 [CO1], KL4

c. Explain briefly about gradient descent Algorithm. 5 [CO1], KL5

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