UnICORNN: A recurrent model for learning very long time dependencies
T. Konstantin Rusch 1 Siddhartha Mishra 1
Abstract such as in LSTMs (Hochreiter & Schmidhuber, 1997) and
GRUs (Cho et al., 2014), where the additive structure of
The design of recurrent neural networks (RNNs)
the gates mitigates the vanishing gradient problem. How-
to accurately process sequential inputs wi ...


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