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ARTIFICIAL INTELLIGENCE #3 NEURAL NETWORKS AND DEEP LEARNING

Total questions: 31

Worksheet time: 16mins

Name
Class
Date
1.

In reality, we can do much more with AI if we connect a bunch of __________________________ together, to create what is called an artificial neural network.

a)

perceptrons

b)

transistors

c)

neurons

d)

algorithms

2.

Directions: While watching the video, fill in the blanks. 2. ImageNet used crowdsourcing and leveraged the power of __________________________ to economically distribute the work among thousands of people.

a)

Internet

b)

Telephone

c)

Television

d)

Radio

3.

The __________________________ layer is where the neural network receives data represented as numbers.

a)

input

b)

output

c)

hidden

d)

activation

4.

Once the features have data, each one sends its number to each neuron in the next layer, called the __________________________ layer.

a)

hidden

b)

output

c)

input

d)

activation

5.

The __________________________ layer is where the outputs of the last hidden layer are mathematically combined to answer the problem.

a)

output

b)

input

c)

convolutional

d)

pooling

6.

A neural network seems like a black box that does __________________________ and gives an answer.

a)

mathematics

b)

magic

c)

guesses

d)

randomness

7.

Each __________________________ is performing a calculation on the data it receives and only detects specific patterns of light and darkness.

a)

neuron

b)

pixel

c)

sensor

d)

circuit

8.

8. __________________________ networks can combine input data in more complex ways to look for more complex components and solve more difficult problems.

a)

deep

b)

shallow

c)

linear

d)

simple

9.

In the deeper layers, those components become more abstract than how humans would describe the same __________________________.

a)

data

b)

weather

c)

music

d)

language

10.

10. __________________________ networks are how Alexa understands which song you ask it to play and how Facebook suggests tags for our photos.

a)

neural

b)

optical

c)

mechanical

d)

hydraulic

11.

Directions: Which of the following is something you might know about the topic?

a)

A fact or idea related to the topic

b)

A random statement not related

c)

A personal opinion not based on the topic

d)

An assumption with no connection to the topic

12.

In reality, we can do much more with AI if we connect a bunch of ____________________________ together, to create what is called an artificial neural network.

a)

neurons

b)

transistors

c)

cables

d)

processors

13.

Directions: While watching the video, fill in the blanks. 2. ImageNet used crowdsourcing and leveraged the power of ____________________________ to economically distribute the work among thousands of people.

a)

internet

b)

telephone

c)

television

d)

postal service

14.

The ____________________________ layer is where the neural network receives data represented as numbers.

a)

input

b)

output

c)

hidden

d)

activation

15.

Once the features have data, each one sends its number to each neuron in the next layer, called the ____________________________ layer.

a)

hidden

b)

output

c)

input

d)

activation

16.

The ____________________________ layer is where the outputs of the last hidden layer are mathematically combined to answer the problem.

a)

output

b)

input

c)

convolutional

d)

pooling

17.

A neural network seems like a black box that does ____________________________ and gives an answer.

a)

calculations

b)

magic tricks

c)

random guesses

d)

storytelling

18.

Each ____________________________ is performing a calculation on the data it receives and only detects specific patterns of light and darkness.

a)

neuron

b)

pixel

c)

sensor

d)

circuit

19.

8. ____________________________ networks can combine input data in more complex ways to search for more complex components and solve more difficult problems.

a)

Deep neural networks

b)

Shallow feedforward networks

c)

Linear regression

d)

Radial basis function

20.

In the deeper layers, those components become more abstract compared to how humans would describe the same ____________________________.

a)

features

b)

colors

c)

numbers

d)

letters

21.

Directions: While watching the video, fill in the blanks.
10. ____________________________ networks are how Alexa understands which song you ask it to play and how Facebook suggests tags for our photos.

a)

Neural

b)

Social

c)

Transport

d)

Broadcast

22.

In reality, we can do much more with AI if we connect a bunch of __________ together, to create what is called an artificial neural network.

a)

perceptrons

b)

neurons

c)

transistors

d)

algorithms

23.

Directions: While watching the video, fill in the blanks. 2. ImageNet used crowdsourcing and leveraged the power of __________ to economically distribute the work among thousands of people.

a)

Internet

b)

Telephone

c)

Television

d)

Radio

24.

The __________ layer is where the neural network receives data represented as numbers.

a)

input

b)

output

c)

hidden

d)

activation

25.

Once the features have data, each one sends its number to each neuron in the next layer, called the __________ layer.

a)

hidden

b)

output

c)

input

d)

activation

26.

The __________ layer is where the outputs of the last hidden layer are mathematically combined to answer the problem.

a)

output

b)

input

c)

activation

d)

convolutional

27.

A neural network seems like a black box that does __________ and gives an answer.

a)

mathematics

b)

cooking

c)

painting

d)

singing

28.

Each __________ is performing a calculation on the data it receives and only detects specific patterns of light and darkness.

a)

neuron

b)

pixel

c)

circuit

d)

sensor

29.

8. __________ networks can combine input data in more complex ways to look for more complex components and solve more difficult problems.

a)

Deep

b)

Shallow

c)

Linear

d)

Random

30.

In the deeper layers, those components become more abstract from how humans would describe the same __________.

a)

data

b)

weather

c)

music

d)

language

31.

10. __________ networks are how Alexa understands which song you are asking it to play and how Facebook suggests tags for our photos.

a)

Neural

b)

Social

c)

Transport

d)

Broadcast