Machine Learning, Data Science, Loss Function, Regression, Classification.
ways: The first approach is used in Supervised learning, the second in Reinforcement Learning. KL-Divergence is functionally similar to multi-class cross-entropy and is also called relative entropy of P with respect to Q: We specify the ‘kullback_leibler_divergence’ as the value of the loss