The Science of Deep Learning

"Drori's textbook makes the learning curve for deep learning a whole lot easier to climb. It follows a rigid scientific narrative, accompanied by a trove of code examples and visualizations. These enable a truly multi-modal approach to learning that will allow many students to understand the material better and sets them on a path of exploration." Joaquin Vanschoren, Assistant Professor of Machine Learning, Eindhoven University of Technology

"This book offers a fascinating tour of the field of deep learning, which in only ten years has come to revolutionize almost every area of computing. Drori provides concise descriptions of many of the most important developments, combining unified mathematical notation and ample figures to form an essential resource for students and practitioners alike." Jonathan Ventura, Assistant Professor of Computer Science, Cal Poly

'From the available books on deep learning, this textbook is outstanding. Drori has provided an extensive overview of the field including reinforcement learning - in its technical meaning and in his successful, common-sense approach to teaching and understanding.' Gilbert Strang, Professor of Mathematics, Massachusetts Institute of Technology

"Drori's book covers deep learning, from fundamentals to applications. The fundamentals are covered with clear figures and examples, making the underlying algorithms easy to understand for non-specialists. The multidisciplinary applications are thoughtfully selected to illustrate the broad applications of deep neural networks to specialized domains while highlighting the common themes and architectures between them." Tonio Buonassisi, Professor of Mechanical Engineering, Massachusetts Institute of Technology

"This book covers an impressive breadth of foundational concepts and algorithms behind modern deep learning. By reading this book, readers will quickly but thoroughly learn and appreciate the foundations and advances of modern deep learning." Kyunghyun Cho, Associate Professor of Computer Science and Data Science, New York University

"This new book by Prof. Drori brings fresh insights from his experience teaching thousands of students at Columbia, MIT, and NYU during the past several years. The book is a unique resource and opportunity for educators and researchers worldwide to build on his highly successful deep learning course.", Claudio Silva, Professor of Computer Science and Engineering, New York University

"Drori's textbook goes under the hood of deep learning, covering a broad swath of modern techniques in optimization that are useful for efficiently training neural networks. The book also covers regularization methods to avoid overfitting, a common issue when working with deep learning models. Overall, this is an excellent textbook for students and practitioners who want to gain a deeper understanding of deep learning." Madeleine Udell, Assistant Professor of Management Science and Engineering, Stanford University