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AI Checkpoint 1 Revision

Total questions: 16

Worksheet time: 8mins

Name
Class
Date
1.

Which of the following is NOT an application of AI?

a)

Intelligent robots

b)

Speech recognition

c)

Self-driving vehicles

d)

ATM Fund transfer

2.

Machine learning could label images dataset to create and train an ANN classification model?

a)

Supervised learning

b)

Semi-supervised learning

c)

Unsupervised learning

d)

Reinforcement learning

3.

Which of the following is NOT an application of AI in healthcare?

a)

Administration

b)

Assisted diagnosis

c)

Telemedicine

d)

Climate change forecasting

4.

Which of the following types of machine learning algorithms uses the rewards and punishments system?

a)

Unsupervised learning

b)

Reinforcement learning

c)

Supervised learning

d)

Semi-supervised learning

5.

What is neural network?

a)

It is not related to our body

b)

It works like our respiratory system

c)

Algorithms inspired by the human brain designed to recognize patterns

d)

It works with electricity

6.

Is Neural network part of AI?

a)

True

b)

False

7.

Is neural network part of deep learning

a)

True

b)

False

8.

........ is a form of computer science used to create intelligent machines that acts like human

a)

Programming

b)

Neural Network

c)

Artificial Intelligence

d)

Robotics

9.

........ is the field that gives the machine the ability to learn

a)

Programming

b)

Machine Learning

c)

Neural Network

d)

Robotics

10.

........ is base of deep learning that makes machine learning achievable

a)

Artificial Intelligence

b)

Machine Learning

c)

Neural Network

d)

Robotics

11.

In the following artificial neural network structure, the red layer represents the .......

a)

Output layer

b)

Hidden layer

c)

Input layer

12.

Which of the following is NOT an application of neural networks?

a)

Machine engines

b)

Speech recognition

c)

Image processing

d)

Real-time translation

13.

What do we call the basic unit of computation within a neural network?

a)

Bias

b)

Weight

c)

Neuron

d)

Activation function

14.

What do we call the collection of 'neurons' operating together at a specific depth within a neural network?

a)

Weight

b)

Bias

c)

Activation function

d)

Layers

15.

Which of the following controls the strength of the connections between the neurons?

a)

Output layer

b)

Weight

c)

Input layer

d)

Summation function

16.

Which of the following is NOT a component of a typical Artificial Neural Networks?

a)

Layers

b)

Neurons

c)

Activation Function

d)

Memory