Quaternion Recurrent Neural Networks

    international conference on learning representations, 2019.

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    Abstract:

    Recurrent neural networks (RNNs) are powerful architectures to model sequential data, due to their capability to learn short and long-term dependencies between the basic elements of a sequence. Nonetheless, popular tasks such as speech or images recognition, involve multi-dimensional input features that are characterized by strong interna...More

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