tensorflow tutorial 系列：sequenceseq2seq / Neural Machine Translation (seq2seq) Tutorial

官方 tutorial 链接：

Neural Machine Translation (seq2seq) Tutorial -> https://www.tensorflow.org/versions/master/tutorials/seq2seq
以下是官方 tutorial 的不完整翻译。(不过，说不定哪天就完整了，哈哈！：）)

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原文作者：Thang Luong, Eugene Brevdo, Rui Zhao (Google Research Blogpost, 代码在这里：Github)

tensorflow版本要求：tf-nightly 就行，或者稳定的tensorflow 版本，比如tf-1.4

如果大家的研究用到了此代码库，记得引用这条信息：

@article{luong17,
  author  = {Minh{-}Thang Luong and Eugene Brevdo and Rui Zhao},
  title   = {Neural Machine Translation (seq2seq) Tutorial},
  journal = {https://github.com/tensorflow/nmt},
  year    = {2017},
}

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目录

1 简介

2 基础

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1 简介

数据集：
1.Small-scale: English-Vietnamese parallel corpus of TED talks (133K sentence pairs) provided by the IWSLT Evaluation Campaign.
2.Large-scale: German-English parallel corpus (4.5M sentence pairs) provided by the WMT Evaluation Campaign.

2 基础