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

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

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains the process of image processing, focusing on a 4x4 image. It covers how convolution and blurring affect the image, the role of a blurring filter, and the addition of padding to maintain the image size. The tutorial emphasizes that despite these processes, the output image remains a 4x4 image.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the size of both the input and output images discussed in the video?

Five by five

Four by four

Three by three

Two by two

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What process is applied to the output image to create a blurred effect?

Sharpening

Resizing

Convolution

Cropping

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the blurring filter add to the sides of the image?

Threes

Twos

Ones

Zeros

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of adding padding to the image?

To change the image color

To fill in missing pixel values

To enhance image brightness

To increase the image size

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What remains unchanged about the output image after processing?

Its color

Its size

Its resolution

Its format

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