Fully tensorial approach to hypercomplex neural networks

• URL: http://arxiv.org/abs/2407.00449v1
• Date: Sat, 29 Jun 2024 14:19:40 GMT
• Title: Fully tensorial approach to hypercomplex neural networks
• Authors: Agnieszka Niemczynowicz, Radosław Antoni Kycia,
• Abstract summary: The key point is to observe that the algebra multiplication can be represented as a rank three tensor. This approach is attractive for neural network libraries that support effective tensorial operations.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Fully tensorial theory of hypercomplex neural networks is given. The key point is to observe that the algebra multiplication can be represented as a rank three tensor. This approach is attractive for neural network libraries that support effective tensorial operations.

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