Sept. 3, 2022, 1:39 a.m. | Stefania Cristina

Blog machinelearningmastery.com

Conventional encoder-decoder architectures for machine translation encoded every source sentence into a fixed-length vector, irrespective of its length, from which the decoder would then generate a translation. This made it difficult for the neural network to cope with long sentences, essentially resulting in a performance bottleneck.  The Bahdanau attention was proposed to address the performance […]


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attention bahdanau encoder-decoder neural machine translation recurrent neural network

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