diff options
Diffstat (limited to 'tensorflow/python/ops/rnn_cell_impl.py')
| -rw-r--r-- | tensorflow/python/ops/rnn_cell_impl.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/ops/rnn_cell_impl.py b/tensorflow/python/ops/rnn_cell_impl.py index 53db96f334..f7854e86c0 100644 --- a/tensorflow/python/ops/rnn_cell_impl.py +++ b/tensorflow/python/ops/rnn_cell_impl.py @@ -419,7 +419,7 @@ 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. @@ -628,7 +628,7 @@ class DropoutWrapper(RNNCell): """Create a cell with added input, state, and/or output dropout. If `variational_recurrent` is set to `True` (**NOT** the default behavior), - then the the same dropout mask is applied at every step, as described in: + then the same dropout mask is applied at every step, as described in: Y. Gal, Z Ghahramani. "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks". https://arxiv.org/abs/1512.05287 |