Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
that it is always going to be the same one. Hence such an impulse-looking distribution has minimum entropy. Entropy regularization is used when the output of the model is a probability distribution for example classification, policy gradient reinforcement learning, etc. Instead of directly using