Computer Vision and Machine Learning Quiz

What is required to teach a computer?

• A few examples of training data

• Thousands or millions of examples of training data

• No examples of training data

• Just one example of training data

What does the computer look at with each guess?

• The entire image

• Each pixel and the surrounding pixels

• Only the edges of the image

• The color of the image

What does the computer try to recognize to help it guess?

• Colors

• Shapes

• Patterns

• Textures

How does the computer build a more confident guessing algorithm?

• By using more data

• By using less data

• With more trial and error

• By using random guesses

How does machine learning find patterns?

• By guessing randomly

• By learning from its mistakes

• By copying other computers

• By using pre-defined rules

What can most complex images be broken down into?

• Large complex patterns

• Small simple patterns

• Random shapes

• Detailed textures

How does the computer recognize patterns?

• By using a neural network

• By using a database

• By using a spreadsheet

• By using a flowchart

What is a machine ultimately only as good as?

• The software used to run it

• The hardware it is built with

• The data used to train it

• The speed of its processor

What does the computer do with each guess?

• It ignores the pixels

• It looks at each pixel and the surrounding pixels

• It looks at the entire image

• It looks at the edges of the image

What helps the computer to guess better over time?

• More data

• More trial and error

• Faster processors

• Better software