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Diffstat (limited to 'tensorflow/g3doc/tutorials/recurrent/index.md')
| -rw-r--r-- | tensorflow/g3doc/tutorials/recurrent/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/g3doc/tutorials/recurrent/index.md b/tensorflow/g3doc/tutorials/recurrent/index.md index 687638068c..993b1c345b 100644 --- a/tensorflow/g3doc/tutorials/recurrent/index.md +++ b/tensorflow/g3doc/tutorials/recurrent/index.md @@ -11,7 +11,7 @@ In this tutorial we will show how to train a recurrent neural network on a challenging task of language modeling. The goal of the problem is to fit a probabilistic model which assigns probabilities to sentences. It does so by predicting next words in a text given a history of previous words. For this -purpose we will use the [Penn Tree Bank](http://www.cis.upenn.edu/~treebank/) +purpose we will use the [Penn Tree Bank](https://catalog.ldc.upenn.edu/ldc99t42) (PTB) dataset, which is a popular benchmark for measuring quality of these models, whilst being small and relatively fast to train. |