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Transverse-layer partitioning of artificial neural networks for image classification

Transverse-layer partitioning of artificial neural networks for image classification

We discuss issues of modular learning in artificial neural networks and explore possibilities of the partial use of modules when the computational resources are limited. The proposed method is based on the ability of a wavelet transform to separate information into high-and low-frequency parts. Usin...

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Bibliographic Details
Main Authors: Vershkov, N. A., Вершков, Н. А., Babenko, M. G., Бабенко, М. Г., Kuchukova, N. N., Кучукова, Н. Н., Kuchukov, V. A., Кучуков, В. А., Kucherov, N. N., Кучеров, Н. Н.
Format: Статья
Language:English
Published: 2024
Subjects:
Orthogonal transforms
Wavelet transform
Artificial neural networks
Convolutional layer
Modular learning
Neural network optimization
Online Access:https://dspace.ncfu.ru/handle/123456789/27507
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https://dspace.ncfu.ru/handle/123456789/27507

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