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Sequence prediction and classification are ubiquitous and challenging problems in machine learning that can require identifying complex dependencies between temporally distant inputs. Recurrent Neural Networks (RNNs) have the ability, in theory, to cope with these temporal dependencies by virtue of the short-term memory implemented by their recurrent (feedback) connections. However, in practice...
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ژورنال
عنوان ژورنال: Nature
سال: 1998
ISSN: 0028-0836,1476-4687
DOI: 10.1038/35981