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artificial neural network

Total questions: 25

Worksheet time: 17mins

Name
Class
Date
1.

Every Artificial Neural must have at least ______

a)

two layers.

b)

three layers.

c)

four layers.

2.

The neurons in the human brain regularly change their threshold.

a)

True

b)

False

3.

............ is a series of algorithms that aims to understand

the relationships in a set of data using a

process inspired by the human brain

a)

artificial neural network (ANN)

b)

neuron (nerve cell)

c)

K - nearest neighbor

d)

k - mean value

4.

Neural network is inspired by .......

a)

Human heart

b)

Human lungs

c)

Human brain

d)

human eyes

5.

Neural Network is type of ........... which is type of machine learning

a)

natural language processing

b)

deep learning

c)

speech

d)

robotics

6.

Check the answers that describe a real life application of neural network

a)

Facial recognition

b)

Siri showing you the road

c)

Music composition

d)

Smart lighting system

e)

Forecasting

7.

The first step in Neural network is .............

a)

Divide the picture in to pixels

b)

Assign a pixel in each neuron in the input layer

c)

Do calculations to find the values in the hidden layers

d)

Predict the output

e)

Find the error

8.

Using the error to modify the weight of the connection between the layers called ...........

a)

Forward propagation

b)

Backward propagation

9.
Artificial Intelligence is the process that allows computers to learn and make decisions like humans
a)
True
b)
False
10.

What is this?

a)

artificial intelligence

b)

algorithm

c)

neural network

11.

How many output layers have the following Neural network?

a)

1

b)

2

c)

3

d)

4

12.

How many input layers have the following Neural network

a)

1

b)

2

c)

3

d)

4

13.

How many hidden layers have the following Neural network

a)

4

b)

5

c)

6

d)

7

14.

What is ANN

a)

Artificial Neural Node

b)

Artificial Neuro Nest

c)

Artificial Neural Network

d)

Artificial Neuron Naive

15.

Every Artificial Neural must have at least ______

a)

two layers.

b)

three layers.

c)

four layers.

16.

The most common Neural networks consist of three network layers: input layer, output layer and .............

a)

neuron layer

b)

hidden layer

c)

algorithm layer

17.

The input data travels over the network (propagates) until it reaches the output layer. This is called........

a)

Back propagation

b)

Forward propagation

18.

This is a system of Programs and Data Structures that mimics the operation of the human brain :

a)

Intelligent Network

b)

Decision Support System

c)

Neural Network

d)

Genetic Programming

19.

Which one of these is not an area of AI?

a)

computer vision/image recognition

b)

voice recognition

c)

web design

d)

robotics

20.

What is Machine Learning? (Choose 3 Answers)

a)

Artificial Intelligence

b)

Machine Learning

c)

Data Statistics

d)

Deep Learning

21.

Which is the correct structure of a Neural Network?

a)

Output, Hidden Layer, Input

b)

Hidden Layer, Input, Output

c)

Input, Hidden Layer, Output

22.

This is where we insert the initial data for the neural network.

a)

Input

b)

Hidden Layer

c)

Output

23.

Which is the correct structure of a Neural Network?

a)

Output, Hidden Layer, Input

b)

Hidden Layer, Input, Output

c)

Input, Hidden Layer, Output

24.

It produces the result for given inputs.

a)

Input

b)

Hidden Layer

c)

Output

25.

a mathematical model of the biological neuron of the human brain; it is considered as the core processing unit of artificial neural networks

a)

Neuron

b)

Perceptron