Geometry of Deep Learning: A Signal Processing Perspective

The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined.

To support this claim, an overview of classical kernel machine learning approaches is presented, and their adv...