Cross Entropy quantifies the difference between two probability distributions, revealing how effectively one predicts the other. It's a fundamental Loss Function in Machine Learning, guiding models toward optimal performance.
Cross Entropy quantifies the difference between two probability distributions, revealing how effectively one predicts the other. It's a fundamental Loss Function in Machine Learning, guiding models toward optimal performance.