Parcollet, Titouan, Morchid, Mohamed, Linarès, Georges
Quaternion neural networks have recently received an increasing interest due to
noticeable improvements over real-valued neural networks on real world tasks
such as image, speech and signal processing. The extension of quaternion numbers
to neural architectures reached state-of-the-art performances with a reduction
of the number of neural parameters. This survey provides a review of past and
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