Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
between two probability distributions p and q is defined as: KL(p||q) = sum(p(x) * log(p(x) / q(x))) In the context of machine learning, p represents the true distribution and q represents the predicted distribution. The KL divergence loss measures how well the predicted distribution matches the