Recurrent Neural Network Regularization

Benchmark Model Rank Results
language-modelling-on-penn-treebank-wordZaremba et al. (2014) - LSTM (large)#35Test perplexity: 78.4Validation perplexity: 82.2
language-modelling-on-penn-treebank-wordZaremba et al. (2014) - LSTM (medium)#38Test perplexity: 82.7Validation perplexity: 86.2
machine-translation-on-wmt2014-english-frenchRegularized LSTM#48BLEU score: 29.03