Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
for each class. The formula for categorical cross-entropy loss is: L = -1/N * sum(sum(Y * log(Y_hat))) where Y is a matrix of true labels in one-hot encoding format, Y_hat is a matrix of predicted probabilities for each class, N is the number of samples, and log represents the natural logarithm. In