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Posted to commits@mxnet.apache.org by sx...@apache.org on 2018/03/18 23:11:38 UTC
[incubator-mxnet] branch master updated: Update rnn_layer.py
(#10153)
This is an automated email from the ASF dual-hosted git repository.
sxjscience pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 6e1f58d Update rnn_layer.py (#10153)
6e1f58d is described below
commit 6e1f58d4a8eb15dea9d23ff7ae10c484bcd5e43e
Author: Sheng Zha <sz...@users.noreply.github.com>
AuthorDate: Sun Mar 18 16:11:31 2018 -0700
Update rnn_layer.py (#10153)
fixes #10152
---
python/mxnet/gluon/rnn/rnn_layer.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/python/mxnet/gluon/rnn/rnn_layer.py b/python/mxnet/gluon/rnn/rnn_layer.py
index 2fac399..c82e953 100644
--- a/python/mxnet/gluon/rnn/rnn_layer.py
+++ b/python/mxnet/gluon/rnn/rnn_layer.py
@@ -254,7 +254,7 @@ class RNN(_RNNLayer):
The number of features in the hidden state h.
num_layers: int, default 1
Number of recurrent layers.
- activation: {'relu' or 'tanh'}, default 'tanh'
+ activation: {'relu' or 'tanh'}, default 'relu'
The activation function to use.
layout : str, default 'TNC'
The format of input and output tensors. T, N and C stand for
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