Mathematics of Deep Learning: An Introduction

Provides a mathematical perspective to some key elements of so-called deep neural networks (DNNs). Much of the interest on deep learning has focused on the implementation of DNN-based algorithms. This textbook focuses on a complementary point of view that emphasizes the underlying mathematical ideas.