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 new insight or understanding did you gain from this video?