KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
<|reference_start|>KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch: Neural networks used in computations with more advanced algebras than real numbers perform better in some applications. However, there is no general framework for constructing hypercomplex neural networks. We propose a library integrated with Keras that can do computations within TensorFlow and PyTorch. It provides Dense and Convolutional 1D, 2D, and 3D layers architectures.<|reference_end|>
@article{niemczynowicz2024khnns:,
    title={KHNNs: hypercomplex neural networks computations via Keras using
  TensorFlow and PyTorch},
    author={Agnieszka Niemczynowicz, Rados{l}aw Antoni Kycia},
    journal={arXiv preprint arXiv:2407.00452},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.00452},
    primaryClass={cs.LG cs.AI cs.NE}
}