Coordinated by two expert editors, and written by an international team of authors with a wide range of expertise, this timely book is the first to address the hot topic of deep learning in neural networks. It presents and discusses innovations in the design, modelling, implementation, and optimisation of hardware platforms for neural networks. This is a key resource that provides an overview of the field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based technology.