Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
prior knowledge, with a preference towards simpler models to promote generalisation (see Occam’s Razor). The sections present in this chapter are listed below: Parameter Norm Penalties Norm Penalties as Constrained Optimization Regularization and Under-Constrained Problems Dataset Augmentation