(Print) Understanding Artificial Neural Networks

(Print) Understanding Artificial Neural Networks

11th Grade

6 Qs

quiz-placeholder

Similar activities

Neural Network - Key Vocabulary Review

Neural Network - Key Vocabulary Review

11th - 12th Grade

5 Qs

Types of ANN G12

Types of ANN G12

9th - 12th Grade

8 Qs

Inspire - AI Trivia

Inspire - AI Trivia

11th Grade

10 Qs

Net+ Ch2 - test

Net+ Ch2 - test

9th - 12th Grade

11 Qs

OSI Model - Network Layer

OSI Model - Network Layer

9th Grade - Professional Development

10 Qs

Intro to Networking-Protocols and Models

Intro to Networking-Protocols and Models

9th Grade - University

9 Qs

Transmission Media

Transmission Media

1st Grade - University

10 Qs

Kuis VLAN

Kuis VLAN

11th Grade

10 Qs

(Print) Understanding Artificial Neural Networks

(Print) Understanding Artificial Neural Networks

Assessment

Quiz

Computers

11th Grade

Easy

Created by

Jack Walker

Used 2+ times

FREE Resource

6 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the special cells in the human brain called?

Neurons

Axons

Synapses

Dendrites

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of connecting artificial neurons together?

To make a single neuron more powerful

To simplify calculations

To create a biological neural network

To create an artificial neural network

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the movie recommendation system example, what happens after you provide your own rating?

The system stops working

The weights of the critics' opinions are recalculated

The system ignores your rating

The system deletes the previous ratings

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of hidden layers in a neural network?

To process inputs and pass them to the next layer

To connect neurons to the internet

To store data

To display outputs

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the output of one layer of neurons used for?

As a weight adjustment

As a training example

As the input to the next layer

As the final result

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using neural networks in recommendation systems?

They can store large amounts of data

They can process inputs faster

They can learn and adapt to user preferences

They can operate without any human input