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?

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

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