Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
true class label i for each sample, and N is the number of samples. In other words, the formula calculates the negative logarithm of the predicted probability for the true class label for each sample, and then averages these values over all samples. Unlike the categorical cross-entropy loss, which