Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
Classification In multi-class classification (M>2), we take the sum of log loss values for each class prediction in the observation. Cross-entropy for a binary or two class prediction problem is actually calculated as the average cross entropy across all examples. Log Loss uses negative log to