Hierarchical Multiscale Recurrent Neural Networks

international conference on learning representations, 2017.

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Abstract:

Learning both hierarchical and temporal representation has been among the long- standing challenges of recurrent neural networks. Multiscale recurrent neural networks have been considered as a promising approach to resolve this issue, yet there has been a lack of empirical evidence showing that this type of models can actually capture the...More

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