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Deep Separable Hypercomplex Networks

Published in LibraryPress@UF • May 1, 2023
Authors:
Nazmul Shahadat
,
Anthony S. Maida

Abstract

Deep hypercomplex-inspired convolutional neural networks (CNNs) have recently enhanced feature extraction for image classification by allowing weight sharing across input channels. This makes it possible to improve the representation acquisition abilities of the networks. Hypercomplex-inspired netwo...

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