Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
keeps decreasing but the test error (or the generalisation error) starts increasing. At this point we tend to believe that the model is learning the training data distribution and not generalising to unseen data. Regularization is a modification we make to the learning algorithm or the model