The no free lunch theorem has made it clear that there is no best machine learning algorithm, and, in particular, no best form of regularization. Instead we must choose a form of regularization that is well suited to the particular task we want to solve. The philosophy of deep learning in general and this book in particular is that a wide range of tasks (such as all the intellectual tasks that people can do) may all be solved effectively using very general-purpose forms of regularization.