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End of Term- Robotics

Total questions: 9

Worksheet time: 6mins

Name
Class
Date
1.

It is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed

a)

Artificial Intelligence

b)

Decision Tree

c)

Machine Learning

d)

Linear Regression

2.

What is the correct analogy and phase of creating a teachable machine?

a)

Machine Learning, Algorithms, Neural Networks

b)

Neural Networks, Algorithms, Machine Learning

c)

Algorithms, Machine Learning, Neural Networks

3.

These are set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns.

a)

Nucleus Networks

b)

Neuron Networks

c)

Neutral Networks

d)

Neural Networks

4.

Which is the correct structure of a Neural Network?

a)

Output, Hidden Layer, Input

b)

Hidden Layer, Input, Output

c)

Input, Hidden Layer, Output

5.

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

a)

Input

b)

Hidden Layer

c)

Output

6.

This is an intermediate layer between input and output layer and place where all the computation is done.

a)

Input

b)

Hidden Layer

c)

Output

7.

It produces the result for given inputs.

a)

Input

b)

Hidden Layer

c)

Output

8.

In creating a neural network model that can identify between a high five (Green) and a peace sign (Purple), in which color should you program the output of a peace sign gif?

a)

Green

b)

Purple

9.

If we want to create a model of neural network that can identify whether you are wearing a mask or no, what is the ideal number of output that we should create?

a)

1

b)

2

c)

3