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Massive Exploration of Neural Machine Translation ...

Massive Exploration of Neural Machine TranslationArchitecturesDenny Britz , Anna Goldie , Minh-Thang Luong, Quoc BrainAbstractNeural Machine Translation (NMT) hasshown remarkable progress over the pastfew years with production systems nowbeing deployed to end-users. One majordrawback of current architectures is thatthey are expensive to train, typically re-quiring days to weeks of GPU time toconverge. This makes exhaustive hyper-parameter search, as is commonly donewith other Neural network architectures,prohibitively this work,we present the first large-scale analy-sis of NMT architecture report empirical results and variancenumbers for several hundred experimentalruns, corresponding to over 250,000 GPUhours on the standard WMT English toGerman Translation task.

Massive Exploration of Neural Machine Translation Architectures Denny Britzy, Anna Goldie, Minh-Thang Luong, Quoc Le fdennybritz,agoldie,thangluong,qvlg@google.com Google Brain

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  Architecture, Machine, Exploration, Translation, Neural, Exploration of neural machine translation, Exploration of neural machine translation architectures

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