Machine Learning & Training

What Is Cross-Entropy Loss?

Cross-entropy loss is a loss function commonly used for classification problems. It measures the difference between the predicted probability distribution and the true distribution of labels. Lower cross-entropy indicates that predicted probabilities align more closely with the correct classes.