Articoli correlati a Hardware Architectures for Deep Learning

Hardware Architectures for Deep Learning - Rilegato

 
9781785617683: Hardware Architectures for Deep Learning
Rilegato
ISBN 10: 1785617680 ISBN 13: 9781785617683
Casa editrice: Inst of Engineering & Technology, 2020

Sinossi

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. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for embedded and mobile computing platforms with limited computational/storage resources and a tight power budget. Even for cloud-scale systems it is critical to select the right hardware configuration based on the neural network complexity and system constraints in order to increase power- and performance-efficiency.

Hardware Architectures for Deep Learning provides an overview of this new field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.

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Editore
Inst of Engineering & Technology
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
1785617680
ISBN 13 
9781785617683
Rilegatura
Copertina rigida
Numero di pagine
300
Redattore
Daneshtalab Masoud, Modarressi Mehdi
Contatto del produttore
non disponibile
Persona responsabile
non disponibile