Machine Learning, Deep Learning, Pytorch, Python, Artificial Neural Network.
cross entropy loss. The distinction is the difference between predicted and actual probability. This adds data about information loss in the model training. The farther away the predicted probability distribution is from the true probability distribution, greater is the loss. It does not penalize