This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are curren

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick

"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magi

This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commerci

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.