Hardware architectures for deep learning /

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-...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Daneshtalab, Masoud, 1979- (Editor ), Modarressi, Mehdi (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Stevenage, United Kingdom : The Institution of Engineering and Technology, 2020.
Colección:Materials, circuits and devices series ; 55.
Temas:
Computer architecture.
Machine learning.
Neural networks (Computer science)
Neural Networks, Computer
Machine Learning
Ordinateurs > Architecture.
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Computer architecture
Machine learning
feedforward neural nets.
learning (artificial intelligence)
neural chips.
neural net architecture.
neuromorphic engineering.
recurrent neural nets.
Acceso en línea:Texto completo

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