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

The video tutorial introduces a mathematical rule involving logarithms, explaining that multiplying two values in logarithm results in the sum of their logarithms. It then transitions to discussing cross entropy, a concept used in deep learning, and highlights a flaw in logarithm calculations when dealing with probabilities. The solution involves multiplying each value by a negative to ensure positive results. The tutorial emphasizes the importance of understanding these concepts for deep learning applications.

What is the significance of using natural logarithm in the context discussed?

Describe how the cross entropy values for Model A and Model B indicate error levels.