Hardware Architectures for Deep Learning by Masoud Daneshtalab
English | PDF(True) | 2020 | 330 Pages | ISBN : 1785617680 | 19.48 MB
This book presents and discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a renaissance in interest in neural networks, with applications including image and speech processing, data analytics, robotics, healthcare monitoring, and IoT solutions.