Cargando…
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-...
Autores principales: | Daneshtalab, Masoud, Modarressi, Mehdi |
---|---|
Lenguaje: | eng |
Publicado: |
Institution of Engineering & Technology
2020
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2763568 |
Ejemplares similares
-
Cryptography arithmetic: algorithms and hardware architectures
por: Omondi, Amos R
Publicado: (2020) -
Deep in-memory architectures for machine learning
por: Kang, Mingu, et al.
Publicado: (2020) -
Development and analysis of deep learning architectures
por: Pedrycz, Witold, et al.
Publicado: (2019) -
Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture search
por: Asadi, Mehdi, et al.
Publicado: (2023) -
Evaluation of state-of-the-art hardware architectures for fast cone-beam CT reconstruction
por: Scherl, Holger
Publicado: (2011)