Weiter zum Inhalt
Residue number system-based solution for reducing the hardware cost of a convolutional neural network

Residue number system-based solution for reducing the hardware cost of a convolutional neural network

Convolutional neural networks (CNNs) represent deep learning architectures that are currently used in a wide range of applications, including computer vision, speech recognition, time series analysis in finance, and many others. At the same time, CNNs are very demanding in terms of the hardware and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Deryabin, M. A., Дерябин, М. А., Nagornov, N. N., Нагорнов, Н. Н., Valueva, M. V., Валуева, М. В., Valuev, G. V., Валуев, Г. В.
Format: Статья
Sprache:English
Veröffentlicht: Elsevier B.V. 2020
Schlagworte:
Convolutional neural networks
FPGA
Image recognition
Quantization noise
Residue number system (RNS)
Online Zugang:https://dspace.ncfu.ru/handle/20.500.12258/12151
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Online

https://dspace.ncfu.ru/handle/20.500.12258/12151

Ähnliche Einträge