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Diffstat (limited to 'tensorflow/docs_src/tutorials/recurrent.md')
| -rw-r--r-- | tensorflow/docs_src/tutorials/recurrent.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/docs_src/tutorials/recurrent.md b/tensorflow/docs_src/tutorials/recurrent.md index 346b6be06c..73d40575d7 100644 --- a/tensorflow/docs_src/tutorials/recurrent.md +++ b/tensorflow/docs_src/tutorials/recurrent.md @@ -2,7 +2,7 @@ ## Introduction -Take a look at [this great article](http://colah.github.io/posts/2015-08-Understanding-LSTMs/) +Take a look at [this great article](https://colah.github.io/posts/2015-08-Understanding-LSTMs/) for an introduction to recurrent neural networks and LSTMs in particular. ## Language Modeling @@ -17,11 +17,11 @@ models, whilst being small and relatively fast to train. Language modeling is key to many interesting problems such as speech recognition, machine translation, or image captioning. It is also fun -- -take a look [here](http://karpathy.github.io/2015/05/21/rnn-effectiveness/). +take a look [here](https://karpathy.github.io/2015/05/21/rnn-effectiveness/). For the purpose of this tutorial, we will reproduce the results from -[Zaremba et al., 2014](http://arxiv.org/abs/1409.2329) -([pdf](http://arxiv.org/pdf/1409.2329.pdf)), which achieves very good quality +[Zaremba et al., 2014](https://arxiv.org/abs/1409.2329) +([pdf](https://arxiv.org/pdf/1409.2329.pdf)), which achieves very good quality on the PTB dataset. ## Tutorial Files |