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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...

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Bibliografiset tiedot
Päätekijät: Abdulsalyamova, A. S., Абдулсалямова, А. Ш., Lyakhov, P. A., Ляхов, П. А., Kalita, D. I., Калита, Д. И.
Aineistotyyppi: Статья
Kieli:English
Julkaistu: 2023
Aiheet:
Computational complexity
Digital filtering
Winograd method
Speeding up convolutional neural networks
Convolutional neural networks
Linkit:https://dspace.ncfu.ru/handle/20.500.12258/22737
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https://dspace.ncfu.ru/handle/20.500.12258/22737

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