Last Updated on 2024-08-18 by Clay Introduction to Cross Entropy Cross entropy is a very common loss function in Machine Learning, as it is able to quantify the difference between a model’s classification predictions and the actual class labels, particularly in ‘classification tasks’. In classification problems, the formula for cross entropy is as follows: From … Continue reading [Machine Learning] Note of Cross Entropy Loss