
DL_Unit-3
Quiz
•
Computers
•
University
•
Practice Problem
•
Easy
Ashu Abdul
Used 1+ times
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14 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What aspect of CNNs is focused on preventing overfitting during training?
Dropout layers
Batch normalization
Sigmoid activation
ReLU activation
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
In the context of CNNs, what does the term "underfitting" indicate?
High training loss
Insufficient model complexity
Perfect model performance
Overemphasis on training data
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
In CNNs, what does the term "Multiple Filters" refer to?
Various image sizes
Different convolutional layers
Various feature detectors
Diverse activation functions
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
When encountering the problem of underfitting in CNNs, what advanced technique can be employed to enhance model performance?
Ensemble learning
Transfer learning
Hyperparameter tuning
Quantum computing
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
In the context of CNNs, what does the term "underfitting" indicate?
Insufficient model complexity
Perfect model performance
Overemphasis on training data
High training loss
6.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is the purpose of the Batch Normalization layer in CNNs?
Enhancing model complexity
Accelerating convergence
Normalizing input data for each batch
Reducing the number of layers
7.
OPEN ENDED QUESTION
20 sec • Ungraded
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