Merge pull request #10841 from taehoonlee/fix_references

Fix references
This commit is contained in:
Yifei Feng 2017-06-20 11:22:50 -07:00 committed by GitHub
commit 9cc14c65b2
4 changed files with 4 additions and 4 deletions

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@ -985,7 +985,7 @@ class LSTM(Recurrent):
References: References:
- [Long short-term - [Long short-term
memory](http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf) memory](http://www.bioinf.jku.at/publications/older/2604.pdf)
(original 1997 paper) (original 1997 paper)
- [Supervised sequence labeling with recurrent neural - [Supervised sequence labeling with recurrent neural
networks](http://www.cs.toronto.edu/~graves/preprint.pdf) networks](http://www.cs.toronto.edu/~graves/preprint.pdf)

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@ -79,7 +79,7 @@ class CoupledInputForgetGateLSTMCell(rnn_cell_impl.RNNCell):
The default non-peephole implementation is based on: The default non-peephole implementation is based on:
http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf http://www.bioinf.jku.at/publications/older/2604.pdf
S. Hochreiter and J. Schmidhuber. S. Hochreiter and J. Schmidhuber.
"Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997. "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997.

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@ -351,7 +351,7 @@ to evaluate embeddings is to directly use them to predict syntactic and semantic
relationships like `king is to queen as father is to ?`. This is called relationships like `king is to queen as father is to ?`. This is called
*analogical reasoning* and the task was introduced by *analogical reasoning* and the task was introduced by
[Mikolov and colleagues [Mikolov and colleagues
](http://msr-waypoint.com/en-us/um/people/gzweig/Pubs/NAACL2013Regularities.pdf). ](http://www.anthology.aclweb.org/N/N13/N13-1090.pdf).
Download the dataset for this task from Download the dataset for this task from
[download.tensorflow.org](http://download.tensorflow.org/data/questions-words.txt). [download.tensorflow.org](http://download.tensorflow.org/data/questions-words.txt).

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@ -401,7 +401,7 @@ class LSTMCell(RNNCell):
The default non-peephole implementation is based on: The default non-peephole implementation is based on:
http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf http://www.bioinf.jku.at/publications/older/2604.pdf
S. Hochreiter and J. Schmidhuber. S. Hochreiter and J. Schmidhuber.
"Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997. "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997.