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Deep Learning_DAML

Total questions: 10

Worksheet time: 6mins

Name
Class
Date
1.

Deep Learning is a subset of....

a)

Artificial Intelligence

b)

Artificial Intelligent

c)

Machine Learning

d)

Decision Tree

2.

Which types of Neural Networks are the heart of Deep Learning?

a)

ANN and SNN

b)

ANN and RNN

c)

MLP and CNN

d)

MLP and RNN

3.

Neural networks with several process layers are known as ..............

a)

deep networks

b)

machine networks

c)

convolutional

d)

regression

4.

Which of this is not related to describe neural networks at all?

a)

neutron

b)

weight

c)

activation function

d)

regression

5.

In Deep Learning, Image processing is one important example. How is image processing occurs in deep learning?

a)

extracting->comparing-

>capturing->matching

b)

capturing->extracting->comparing->matching

c)

matching->extracting->comparing-

>capturing

d)

extracting-

>capturing-

>comparing-

>matching

6.

These are all problems suitable to be solved by DL, except.....

a)

Image processing

b)

Syntax segmentation

c)

NLP

d)

Speech recognition

7.

The main building block of Neural Network is called (a)  

8.

From this equation, Z is a neuron, W is the weight. What is X?

a)

parameters

b)

neural network

c)

feature

d)

perceptron

9.

Neural networks that used neurons with simple activation function is called as....

a)

weight

b)

sigmoid

c)

perceptron

d)

layers

10.

Which type of Neural Network is suitable to solve spatial feature recognition?

a)

CNN

b)

Fully Connected Network

c)

ANN

d)

RNN