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Understanding Image Processing and Classification Challenges

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Understanding Image Processing and Classification Challenges

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Questions and Answers

What are images described as in the text?

Three-dimensional arrays of brightness values (correct)

Variations of classes and brightness

Two-dimensional arrays of numbers

Intricate patterns of colors

Why is manual extraction of features from images considered difficult?

Because features are easily detected by humans

Because images have limited brightness variations

Because features are not important in image analysis

Due to the variability in image data (correct)

What is the main challenge when building a classification pipeline for images?

Being invariant to variations between classes (correct)

Dealing with occlusions in images

Detecting brightness changes in images

Being sensitive to variations within a single class

How does the text suggest overcoming the difficulties of manual feature extraction?

By learning visual features directly from data Signup and view all the answers

What approach does the text recommend for learning visual features from images?

Simultaneous extraction and hierarchy learning using neural networks Signup and view all the answers

Why is it important to learn a hierarchy of visual features in image analysis?

To detect and represent complex image patterns Signup and view all the answers

What type of neural networks did we learn about in lecture one?

Fully connected or dense neural networks Signup and view all the answers

What is a characteristic of densely connected networks in image classification?

Collapsing two-dimensional images into one-dimensional vectors Signup and view all the answers

What happens to the spatial structure of an image when processed through a densely connected network?

It is lost due to collapsing into one dimension Signup and view all the answers

Why is having a ton of parameters in a densely connected network a potential issue?

It may cause overfitting due to excessive complexity Signup and view all the answers

In a densely connected network, how are hidden layers connected?

Densely Signup and view all the answers

What is the primary disadvantage of collapsing a two-dimensional image into a one-dimensional vector in neural networks?

Loss of spatial structure information Signup and view all the answers