Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures

Kenneth Heafield
Kenneth Heafield
Mark Briers
Mark Briers

arXiv: Computation and Language, Volume abs/1805.02094, 2018.

Cited by: 0|Views21
EI

Abstract:

Neural machine translation (NMT) has been accelerated by deep learning neural networks over statistical-based approaches, due to the plethora and programmability of commodity heterogeneous computing architectures such as FPGAs and GPUs and the massive amount of training corpuses generated from news outlets, government agencies and social ...More

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