Deep Learning - Deep Neural Network for Beginners Using Python - Problem of Negative Scores

The video tutorial discusses the concept of probabilities and scores in the context of identifying objects like cars, bikes, and bicycles. It explains how scores are calculated using the formula WX + B and how these scores can be converted into probabilities. The tutorial also addresses the challenges posed by negative scores and hints at mathematical functions that can convert negative numbers to positive ones.

What is the probability of a picture being a car?

• 0.67

• 0.09

• 0.50

• 0.24

If a car has a score of 2, a bike has a score of 1, and a bicycle has a score of 0, what is the probability of the picture being a bike?

• 0.67

• 0.50

• 0.33

• 0.24

What does the formula WX + B represent in the context of this lesson?

• The sum of probabilities

• The score of an object

• The probability of an event

• The average score

What is a potential issue when dealing with scores in probability calculations?

• Scores being too high

• Scores being negative

• Scores being equal

• Scores being zero

Which mathematical function can convert a negative number to a positive number?

• Exponential

• Cosine

• Sine

• Logarithm