Deep Learning CNN Convolutional Neural Networks with Python - Image Blurring 2 Quiz

The video tutorial explains how to calculate the dimensions of an output image when a blurring filter is applied. It starts by describing the input image and the blurring filter dimensions, then guides through the process of determining the size of the resulting blurred image.

What is the size of the input image for the blurring filter?

• 5x5

• 6x6

• 3x3

• 4x4

What are the dimensions of the blurring filter used?

• 2x2

• 3x3

• 5x5

• 4x4

How does the size of the blurring filter affect the output image dimensions?

• It increases the dimensions

• It decreases the dimensions

• It does not affect the dimensions

• It doubles the dimensions

What is the resulting dimension of the output image after applying the blurring filter?

• 5x5

• 4x4

• 3x3

• 2x2

Why does the output image have smaller dimensions than the input image?

• Because the filter removes pixels

• Because the filter changes pixel colors

• Because the filter rotates the image

• Because the filter adds pixels