Image Recognition Plenary

Image Recognition Plenary

8th Grade

10 Qs

quiz-placeholder

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Image Recognition Plenary

Image Recognition Plenary

Assessment

Quiz

Computers

8th Grade

Medium

Created by

Alexander Woolston

Used 1+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a neural network in the context of artificial intelligence?

A type of computer virus

A system of algorithms that attempts to recognise patterns

A network of human neurons

A type of hardware used in computers

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of backward propagation in neural networks?

To move data backwards through the network

To update the weights of the network to reduce error

To increase the speed of data processing

To visualise the network structure

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of machine learning?

A computer playing a pre-recorded video

A robot vacuum cleaning a room

A program that improves its performance by learning from data

A calculator performing arithmetic operations

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What distinguishes deep learning from traditional machine learning?

Deep learning uses shallow networks

Deep learning requires less data

Deep learning uses multiple layers of neural networks

Deep learning is only used for image recognition

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are datasets important in artificial intelligence?

They are used to store software programs

They provide the data needed to train AI models

They are used to cool down computer systems

They are used to display graphics

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of AI being used for good in the real world?

AI systems that create fake news

AI algorithms that improve online shopping recommendations

AI tools that assist doctors in diagnosing diseases

AI programs that generate spam emails

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is forward propagation in the context of neural networks?

The process of updating weights

The process of moving data from input to output layers

The process of deleting unnecessary data

The process of visualising data

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