Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 2

The video explores the inverse relationship between error and probability in model evaluation. It highlights the flaws of using product methods for calculating accuracy, as a single zero can nullify results. Instead, it suggests using sums, with logarithms as a mathematical function to convert products into sums, maintaining the method's essence.

What new insight or understanding did you gain from this video?