Categorical cross entropy

The categorical cross entropy function uses the cross entropy or log loss function. Its helps to compute the loss with the use of probabilities of its prediction with respect to target or actual value. The log loss increases as the target prediction diverges from its actual value. This loss function is mostly used for multi-class label prediction.