CHAPTER 3

Question 1

………………is a subfield of machine learning focusing
on learning data representations as successive layers of
increasingly meaningful representations.

Answer 1

Deep learning

Question 2

……….. development of smart systems and machines that can carry out tasks that typically require human intelligence

Answer 2

AI

Question 3

…………….Create algorithms that can learn from data and make decisions based on patterns observed

Answer 3

Machine learning

Question 4

T/F *Deep Learning is effective at learning patterns without human intervention

Answer 4

T

Question 5

Importance of Deep Learning for Computer

Answer 5

Deep learning has been a
game changer in the field
of computer vision.

*It’s widely used to teach
computers to “see” and
analyze the environment
similarly to the way
humans do.

Question 6

Its applications on deep learning for computer vision

Answer 6

self-driven cars
robotics,
data analysis

Question 7

Convolutional Neural Network (CNN) Structure

Answer 7

• CONV: Convolutional kernel layer
• RELU: Activation function
• POOL: Dimension reduction layer
• FC: Fully connection layer

Question 8

……………….. is a neural network with some convolutional layers (and
some other layers).

Answer 8

CNN

Question 9

T/F A convolutional layer has a number of filters that does
convolutional operation.

Answer 9

T

Question 10

Why Pooling

Answer 10

Subsampling pixels will not change the object

We can subsample the pixels to make image smaller

fewer parameters to characterize the image

Question 11

A CNN compressesa fully connected network by:

Answer 11

*Reducing number of connections
*Shared weights on the edges
*Max pooling further reduces the complexity