05.15.2023 | Warm Up | Review 4.5

05.15.2023 | Warm Up | Review 4.5

6th - 8th Grade

10 Qs

quiz-placeholder

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05.15.2023 | Warm Up | Review 4.5

05.15.2023 | Warm Up | Review 4.5

Assessment

Quiz

Computers

6th - 8th Grade

Medium

Created by

Danielle Raynor

Used 1+ times

FREE Resource

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

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