
Neural Networks and Deep Learning Quiz
Authored by AIML HoD
Computers
12th Grade
Used 2+ times

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25 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which is true for Neural Networks?
It has set of nodes and connections
Each node computes it’s weighted input
Node could be in excited state or non-excited state
all of the mentioned
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an activation value?
weighted sum of inputs
threshold value
main input to neuron
none of the mentioned
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The process of adjusting the weight is known as?
activation
synchronization
learning
none of the mentioned
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Supervised learning differs from unsupervised learning, in that supervised learning requires
at least one input attribute
input attributes to be categorical
at least one output attribute
output attributes to be categorical
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is not an example of an unsupervised neutral network?
Self-organizing feature map
Hebb network
Both 1 and 2
Back propagation network
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many layers Deep learning algorithms are constructed?
2
3
4
5
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is/are Limitations of deep learning?
Data labeling
Obtain huge training datasets
Both A and B
None of the above
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