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Diffstat (limited to 'tensorflow/docs_src/tutorials/seq2seq.md')
| -rw-r--r-- | tensorflow/docs_src/tutorials/seq2seq.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/tutorials/seq2seq.md b/tensorflow/docs_src/tutorials/seq2seq.md index dd2ca8d524..84c8a9c9f3 100644 --- a/tensorflow/docs_src/tutorials/seq2seq.md +++ b/tensorflow/docs_src/tutorials/seq2seq.md @@ -140,7 +140,7 @@ When training models with large output vocabularies, i.e., when tensors. Instead, it is better to return smaller output tensors, which will later be projected onto a large output tensor using `output_projection`. This allows to use our seq2seq models with a sampled softmax loss, as described -in [Jean et. al., 2014](http://arxiv.org/abs/1412.2007) +in [Jean et al., 2014](http://arxiv.org/abs/1412.2007) ([pdf](http://arxiv.org/pdf/1412.2007.pdf)). In addition to `basic_rnn_seq2seq` and `embedding_rnn_seq2seq` there are a few |