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Constructing Convolutional Neural Networks Based on Quaternion
Description
A convolutional neural network based on quaternion, a four-dimensional hypercomplex number system, is proposed and evaluated in this paper. Called Quaternionic Convolutional Neural Networks (QCNNs), these networks can accept and operate three-dimensional signals by neurons in the networks. The performances of the proposed networks are investigated through classification of CIFAR-10 color images, and it is shown that the proposed QCNN outperforms a conventional (real-valued) CNN.
Journal
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- 2020 International Joint Conference on Neural Networks (IJCNN)
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2020 International Joint Conference on Neural Networks (IJCNN) 1-6, 2020-07-01
IEEE