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| author |  Stefan Schweter <stefan@schweter.it> | 2018-04-28 21:03:15 +0200 |
|---|---|---|
| committer |  drpngx <drpngx@users.noreply.github.com> | 2018-04-28 12:03:15 -0700 |
| commit | 5e0db783cec417b921352537a7b296473522a636 (patch) | |
| tree | f834b428c3d4169c832d298928cefbf14ea6ca7e | |
| parent | 058bb9aa7bacda789a0a60d6aa4014b60af91d7b (diff) | |
Fix link to original LSTM paper (#18876)
| -rw-r--r-- | tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h b/tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h index ace4827d8c..4a648e4283 100644 --- a/tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h +++ b/tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h @@ -609,7 +609,7 @@ enum { * Long short-term memory unit (LSTM) recurrent network layer. * * 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. * |