Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Problem

The video tutorial introduces binary classification, using a rain prediction example to explain how probabilities are calculated for binary outcomes. It then transitions to discussing multi-class classification, using the example of identifying images as a car, bicycle, or motorbike. The tutorial highlights the differences between binary and multi-class classification and provides foundational knowledge on how to approach problems involving multiple classes.

What is the relationship between the probabilities of rain and no rain?

How can we distinguish between a car, a bicycle, and a motorbike?