Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 1

The video tutorial compares two models, A and B, using decision boundaries and probability to determine which model performs better. It explains how to calculate probabilities for classification tasks and evaluates the accuracy of each model. Model B is found to be more accurate than Model A. The tutorial concludes with a discussion on improving model evaluation methods.

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