Podcast
Questions and Answers
How does a computer see an image?
How does a computer see an image?
- As a series of letters
- As a matrix of numbers (correct)
- As a collection of shapes
- As a blank space
How is an RGB image represented to a computer?
How is an RGB image represented to a computer?
- As a black and white image
- As a single channel image
- As three separate two-dimensional images (correct)
- As a one-dimensional array
What does regression deal with in machine learning?
What does regression deal with in machine learning?
- Measuring pixel intensity
- Categorizing data into classes
- Creating image matrices
- Predicting continuous values (correct)
What is the main goal of image classification?
What is the main goal of image classification?
In what form is a grayscale image represented to a computer?
In what form is a grayscale image represented to a computer?
What are the three channels that make up an RGB image?
What are the three channels that make up an RGB image?
What is the main goal of the image classification pipeline discussed in the text?
What is the main goal of the image classification pipeline discussed in the text?
How is classification done in the context of the image classification pipeline mentioned?
How is classification done in the context of the image classification pipeline mentioned?
What is the issue with the approach of leveraging domain knowledge to detect human faces?
What is the issue with the approach of leveraging domain knowledge to detect human faces?
How does the classification pipeline determine if it's looking at a human face?
How does the classification pipeline determine if it's looking at a human face?
What is crucial for the pipeline to correctly classify images?
What is crucial for the pipeline to correctly classify images?
In the context of classification, what allows for a high confidence prediction?
In the context of classification, what allows for a high confidence prediction?
