Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
used when the true labels are provided as integers rather than one-hot encoding. It is commonly used as a loss function in multi-class classification problems. The formula for sparse categorical cross-entropy loss is: L = -1/N * sum(log(Y_hat_i)) where Y_hat_i is the predicted probability for the