Compressing deep-quaternion neural networks with targeted regularisation
In recent years, hyper-complex deep networks (such as complex-valued and quaternion-valued neural networks – QVNNs) have received a renewed interest in the literature. They find applications in multiple fields, ranging from image reconstruction to 3D audio processing. Similar to their real-valued co...
Main Authors: | Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini |
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Format: | Article |
Language: | English |
Published: |
Wiley
2020-07-01
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Series: | CAAI Transactions on Intelligence Technology |
Subjects: | |
Online Access: | https://digital-library.theiet.org/content/journals/10.1049/trit.2020.0020 |
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