Deep Learning CNN Convolutional Neural Networks with Python - Convolution
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the basic operation involved in image filtering?
Division of pixel values
Addition of pixel values
Dot product of a filter and an image
Subtraction of pixel values
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is cross-correlation in the context of image filtering?
A technique for dividing image sections
A method of subtracting filters
A step involving the dot product with a filter for one pixel
A process of adding filters
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do mathematicians define convolution differently from cross-correlation?
By flipping the filter on both axes
By subtracting filters
By dividing the image into sections
By adding filters
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What property of convolution allows it to be performed before or after other operations without changing the result?
Identity property
Commutative property
Distributive property
Associative property
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a type of filter used in computer vision tasks?
Blurring filter
Edge detection filter
Feature detection filter
Color inversion filter
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of filters in convolutional neural networks?
To add noise to images
To learn and detect features
To invert image colors
To reduce image size
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In computer vision, what is the relationship between convolution and image filtering?
They are completely unrelated
They are used in different fields
Convolution is a type of image filtering
Image filtering is a type of convolution
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