
05.15.2023 | Warm Up | Review 4.5
Authored by Danielle Raynor
Computers
6th - 8th Grade
Used 1+ times

AI Actions
Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...
Content View
Student View
10 questions
Show all answers
1.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the following tasks are examples of generation? (Select all correct answers.)
Creating new songs from existing samples of songs and music
Creating new paintings from existing samples of images of paintings
Deciding if a piece of mail should go to a specific address or not
Creating new poems from existing samples of poems
2.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the following tasks are examples of classification? (Select all correct answers.)
Deciding if an image of a dog is a poodle or not.
Deciding whether something is recyclable paper or not.
Creating an image of a Persian cat from other images of Persian cats.
Sorting ripe avocados from unripe avocados.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Images and photographs cannot be considered true art.
True
False
4.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the following might happen if a GANs was trying to create a fake image of Mount Everest? (Select all that are true)
The generator algorithm creates new images of mountains to show the discriminator
The discriminator algorithm judges each mountain image the generator algorithm presents and decides if it is a fake (or not).
A discriminator algorithm gives feedback to the generator algorithm on why it thought it was a fake (so the generator can improve).
The GANS would just be able to read our minds, see the image of Mount Everest in our imaginations, and create it!
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If a generative AI system was never shown images of cats, it might have trouble generating new images of cats.
True
False
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a GAN there are two algorithms at work – one is a “generator” (that creates new content to show) and the other is a “discriminator” (that decides if the content it sees is fake or real).
True
False
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
GAN stands for “Generative Adversarial Network”
True
False
Access all questions and much more by creating a free account
Create resources
Host any resource
Get auto-graded reports

Continue with Google

Continue with Email

Continue with Classlink

Continue with Clever
or continue with

Microsoft
%20(1).png)
Apple
Others
Already have an account?