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?

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

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