From 38615cb8ad4c02dc6050c6b895b781e59e5609f1 Mon Sep 17 00:00:00 2001 From: Taehoon Lee Date: Tue, 20 Jun 2017 11:03:30 +0900 Subject: [PATCH] Fix references --- tensorflow/contrib/keras/python/keras/layers/recurrent.py | 2 +- tensorflow/contrib/rnn/python/ops/rnn_cell.py | 2 +- tensorflow/docs_src/tutorials/word2vec.md | 2 +- tensorflow/python/ops/rnn_cell_impl.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tensorflow/contrib/keras/python/keras/layers/recurrent.py b/tensorflow/contrib/keras/python/keras/layers/recurrent.py index 5e8c23ed3e2..cdef55f599f 100644 --- a/tensorflow/contrib/keras/python/keras/layers/recurrent.py +++ b/tensorflow/contrib/keras/python/keras/layers/recurrent.py @@ -985,7 +985,7 @@ class LSTM(Recurrent): References: - [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) - [Supervised sequence labeling with recurrent neural networks](http://www.cs.toronto.edu/~graves/preprint.pdf) diff --git a/tensorflow/contrib/rnn/python/ops/rnn_cell.py b/tensorflow/contrib/rnn/python/ops/rnn_cell.py index 9c5e9fec9df..c8552fc050f 100644 --- a/tensorflow/contrib/rnn/python/ops/rnn_cell.py +++ b/tensorflow/contrib/rnn/python/ops/rnn_cell.py @@ -79,7 +79,7 @@ class CoupledInputForgetGateLSTMCell(rnn_cell_impl.RNNCell): 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. "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997. diff --git a/tensorflow/docs_src/tutorials/word2vec.md b/tensorflow/docs_src/tutorials/word2vec.md index d7a9089949c..380763db1ab 100644 --- a/tensorflow/docs_src/tutorials/word2vec.md +++ b/tensorflow/docs_src/tutorials/word2vec.md @@ -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 *analogical reasoning* and the task was introduced by [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.tensorflow.org](http://download.tensorflow.org/data/questions-words.txt). diff --git a/tensorflow/python/ops/rnn_cell_impl.py b/tensorflow/python/ops/rnn_cell_impl.py index cc6528d1f59..c00949a322a 100644 --- a/tensorflow/python/ops/rnn_cell_impl.py +++ b/tensorflow/python/ops/rnn_cell_impl.py @@ -401,7 +401,7 @@ class LSTMCell(RNNCell): 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. "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997.