Deep Learning - Deep Neural Network for Beginners Using Python - Cross Entropy Formulation

The video tutorial explains the concept of cross entropy in the context of probabilities, focusing on how it measures error when events occur according to or against given probabilities. The instructor provides a non-mathematical explanation of the cross entropy formula for two classes, using a practical example involving employee selection probabilities. The tutorial also covers the calculation of cross entropy, including the use of summation and averaging, and hints at future discussions on multiclass classification.

What is the formula for cross entropy when considering two classes?

How do you calculate the average cross entropy when dealing with multiple points?

Discuss how the concept of cross entropy can be extended to multiclass classification.