diff options
| -rw-r--r-- | tensorflow/contrib/rnn/python/ops/rnn_cell.py | 20 |
1 files changed, 11 insertions, 9 deletions
diff --git a/tensorflow/contrib/rnn/python/ops/rnn_cell.py b/tensorflow/contrib/rnn/python/ops/rnn_cell.py index f74c95f962..06c481672c 100644 --- a/tensorflow/contrib/rnn/python/ops/rnn_cell.py +++ b/tensorflow/contrib/rnn/python/ops/rnn_cell.py @@ -97,10 +97,10 @@ class CoupledInputForgetGateLSTMCell(rnn_cell_impl.RNNCell): The default non-peephole implementation is based on: - http://www.bioinf.jku.at/publications/older/2604.pdf + https://pdfs.semanticscholar.org/1154/0131eae85b2e11d53df7f1360eeb6476e7f4.pdf - S. Hochreiter and J. Schmidhuber. - "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997. + Felix Gers, Jurgen Schmidhuber, and Fred Cummins. + "Learning to forget: Continual prediction with LSTM." IET, 850-855, 1999. The peephole implementation is based on: @@ -2448,10 +2448,10 @@ class LayerNormLSTMCell(rnn_cell_impl.RNNCell): The default non-peephole implementation is based on: - http://www.bioinf.jku.at/publications/older/2604.pdf + https://pdfs.semanticscholar.org/1154/0131eae85b2e11d53df7f1360eeb6476e7f4.pdf - S. Hochreiter and J. Schmidhuber. - "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997. + Felix Gers, Jurgen Schmidhuber, and Fred Cummins. + "Learning to forget: Continual prediction with LSTM." IET, 850-855, 1999. The peephole implementation is based on: @@ -2802,9 +2802,11 @@ class WeightNormLSTMCell(rnn_cell_impl.RNNCell): Training of Deep Neural Networks The default LSTM implementation based on: - 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. + + https://pdfs.semanticscholar.org/1154/0131eae85b2e11d53df7f1360eeb6476e7f4.pdf + + Felix Gers, Jurgen Schmidhuber, and Fred Cummins. + "Learning to forget: Continual prediction with LSTM." IET, 850-855, 1999. The class uses optional peephole connections, optional cell clipping and an optional projection layer. |