Generating Sequences With Recurrent Neural Networks - …
fer from the curse of dimensionality, and are therefore much better at modelling real-valued or multivariate data than exact matches. In principle a large enough RNN should be su cient to generate sequences of arbitrary complexity. In practice however, standard RNNs are unable to store information about past inputs for very long [15].
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