Machine Learning, Deep Learning, Artificial Intelligence, AI, Neural Networks.
regularize it so that it would have a good generalization (test) error. When using regularization, we try to reduce the generalization error and that may lead to increase the training error in the process which is okay because what we care about is how well the model generalizes. With