szha closed pull request #10348: Fix RNN doc
URL: https://github.com/apache/incubator-mxnet/pull/10348
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diff --git a/python/mxnet/gluon/rnn/rnn_layer.py
b/python/mxnet/gluon/rnn/rnn_layer.py
index c82e95333e6..2aaaeb25d76 100644
--- a/python/mxnet/gluon/rnn/rnn_layer.py
+++ b/python/mxnet/gluon/rnn/rnn_layer.py
@@ -244,8 +244,8 @@ class RNN(_RNNLayer):
.. math::
h_t = \tanh(w_{ih} * x_t + b_{ih} + w_{hh} * h_{(t-1)} + b_{hh})
- where :math:`h_t` is the hidden state at time `t`, and :math:`x_t` is the
hidden
- state of the previous layer at time `t` or :math:`input_t` for the first
layer.
+ where :math:`h_t` is the hidden state at time `t`, and :math:`x_t` is the
output
+ of the previous layer at time `t` or :math:`input_t` for the first layer.
If nonlinearity='relu', then `ReLU` is used instead of `tanh`.
Parameters
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