Facebook posts its fast and accurate ConvNet models for machine translation on GitHub

 In its latest paper, the Facebook AI Research (FAIR) team dropped some impressive results for its implementation of a modified convolutional neural network for machine translation. Facebook says it has achieved a small bump in accuracy at nine times the speed of traditional recurrent network models. And to complement its research, the company is releasing its pre-trained models on… Read More

from TechCrunch http://ift.tt/2pvFFEt


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