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Fixed path to seq2seq.py and minor formatting

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Toby Boyd 2017-06-21 09:23:46 -07:00 committed by GitHub
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tensorflow/docs_src/tutorials/seq2seq.md
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@ -8,7 +8,10 @@ some input and generate a meaningful response? For example, could we train
a neural network to translate from English to French? It turns out that
the answer is *yes*.
This tutorial will show you how to build and train such a system end-to-end. Clone the [TensorFlow main repo](https://github.com/tensorflow/tensorflow) and the [TensorFlow models repo](https://github.com/tensorflow/models) from GitHub. You can then start by running the translate program:
This tutorial will show you how to build and train such a system end-to-end.
Clone the [TensorFlow main repo](https://github.com/tensorflow/tensorflow) and
the [TensorFlow models repo](https://github.com/tensorflow/models) from GitHub.
You can then start by running the translate program:
```
cd models/tutorials/rnn/translate
@ -25,7 +28,7 @@ This tutorial references the following files.
File | What's in it?
--- | ---
`tensorflow/tensorflow/python/ops/seq2seq.py` | Library for building sequence-to-sequence models.
`tensorflow/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py` | Library for building sequence-to-sequence models.
`models/tutorials/rnn/translate/seq2seq_model.py` | Neural translation sequence-to-sequence model.
`models/tutorials/rnn/translate/data_utils.py` | Helper functions for preparing translation data.
`models/tutorials/rnn/translate/translate.py` | Binary that trains and runs the translation model.
@ -148,9 +151,9 @@ have similar interfaces, so we will not describe them in detail. We will use
## Neural translation model
While the core of the sequence-to-sequence model is constructed by
the functions in `tensorflow/tensorflow/python/ops/seq2seq.py`, there are still a few tricks
that are worth mentioning that are used in our translation model in
`models/tutorials/rnn/translate/seq2seq_model.py`.
the functions in `tensorflow/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py`,
there are still a few tricks that are worth mentioning that are used in our
translation model in `models/tutorials/rnn/translate/seq2seq_model.py`.
### Sampled softmax and output projection