Reinforcement Learning and Deep RL Python Theory and Projects - DNN What Is Loss Function Exercise - 2

The video tutorial discusses the differences between binary and multi-class classification tasks. It introduces the concept of cross entropy loss, which is used for multi-class problems, as opposed to binary cross entropy loss for binary classification. An exercise is presented to explore cross entropy loss when the number of classes is greater than two, such as 10, 20, or even 345.

In what scenarios would you prefer using cross entropy loss over other loss functions?

How does the number of classes affect the choice of loss function in classification tasks?