AI, Machine Learning, Artificial Intelligence, Deep Learning, Data Science.
distributions i.e It quantifies how much one probability distribution differs from another probability distribution. KL divergence is often used in machine learning as a loss function to train models, especially in generative models where one distribution is the true distribution and another is the