This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily r
This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mecha
Concepts, tools, and techniques to explore deep learning architectures and methodologies Key FeaturesExplore advanced deep learning architectures using various
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal
This is a primer written for computer architects in the new and rapidly evolving field of deep learning. It reviews how machine learning has evolved since its i