Download or read book Hardware Architectures for Deep Learning written by Masoud Daneshtalab and published by . This book was released on 2020 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The book provides an overview of this emerging field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.