Aller au contenu
Theoretical Analysis of the Convolutional Neural Networks Acceleration by Organizing Calculations According to the Winograd Method

Theoretical Analysis of the Convolutional Neural Networks Acceleration by Organizing Calculations According to the Winograd Method

Convolutional neural networks are promising tool for pattern recognition. Implementations of convolutional neural networks require a significant number of computations during training and processing. In this paper we propose to use Winograd method to reduce computational complexity in convolutional...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Abdulsalyamova, A. S., Абдулсалямова, А. Ш., Lyakhov, P. A., Ляхов, П. А., Kalita, D. I., Калита, Д. И.
Format: Статья
Langue:English
Publié: 2023
Sujets:
Computational complexity
Digital filtering
Winograd method
Speeding up convolutional neural networks
Convolutional neural networks
Accès en ligne:https://dspace.ncfu.ru/handle/20.500.12258/22737
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://dspace.ncfu.ru/handle/20.500.12258/22737

Documents similaires