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 flaw is identified in using products for calculating accuracy?

Which mathematical function can be used to replace products with sums?