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

As Deep Neural Networks (DNNs) become increasingly common in real-world applications, the potential to "fool" them presents a new attack vector. Warr examines t

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear alge

This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig