Convolutional Sequence to Sequence Learning

Benchmark Model Rank Results
bangla-spelling-error-correction-on-dpcspellConvSeq2Seq#2Exact Match Accuracy: 78.85%
image-classification-on-mnistCNN Model by Som#38Percentage error: 1.41Accuracy: 98.59
machine-translation-on-iwslt2015-englishConvS2S#6BLEU score: 26.73
machine-translation-on-iwslt2015-germanConvS2S#6BLEU score: 32.31
machine-translation-on-wmt2014-english-frenchConvS2S (ensemble)#24BLEU score: 41.3
machine-translation-on-wmt2014-english-frenchConvS2S#32BLEU score: 40.46Hardware Burden: 143G
machine-translation-on-wmt2014-english-germanConvS2S (ensemble)#50BLEU score: 26.4Hardware Burden: 54G
machine-translation-on-wmt2014-english-germanConvS2S#62BLEU score: 25.16Hardware Burden: 72G
machine-translation-on-wmt2016-english-1ConvS2S BPE40k#7BLEU score: 29.9