Sequence to Sequence Learning with Neural Networks
Authors Ilya Sutskever, Oriol Vinyals, Quoc V. Le Abstract Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end-to-end approach to sequence learning that makes minimal
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