diff --git a/python/mxnet/gluon/rnn/rnn_cell.py b/python/mxnet/gluon/rnn/rnn_cell.py
index b57dc935af83..98e96fc6da17 100644
--- a/python/mxnet/gluon/rnn/rnn_cell.py
+++ b/python/mxnet/gluon/rnn/rnn_cell.py
@@ -333,7 +333,7 @@ class RNNCell(HybridRecurrentCell):
         Initializer for the bias vector.
     h2h_bias_initializer : str or Initializer, default 'zeros'
         Initializer for the bias vector.
-    prefix : str, default 'rnn_'
+    prefix : str, default ``'rnn_'``
         Prefix for name of `Block`s
         (and name of weight if params is `None`).
     params : Parameter or None
@@ -440,7 +440,7 @@ class LSTMCell(HybridRecurrentCell):
         Initializer for the bias vector.
     h2h_bias_initializer : str or Initializer, default 'zeros'
         Initializer for the bias vector.
-    prefix : str, default 'lstm_'
+    prefix : str, default ``'lstm_'``
         Prefix for name of `Block`s
         (and name of weight if params is `None`).
     params : Parameter or None, default None
@@ -565,7 +565,7 @@ class GRUCell(HybridRecurrentCell):
         Initializer for the bias vector.
     h2h_bias_initializer : str or Initializer, default 'zeros'
         Initializer for the bias vector.
-    prefix : str, default 'gru_'
+    prefix : str, default ``'gru_'``
         prefix for name of `Block`s
         (and name of weight if params is `None`).
     params : Parameter or None, default None
diff --git a/python/mxnet/rnn/rnn_cell.py b/python/mxnet/rnn/rnn_cell.py
index 3301102ba905..9097cbae728d 100644
--- a/python/mxnet/rnn/rnn_cell.py
+++ b/python/mxnet/rnn/rnn_cell.py
@@ -368,7 +368,7 @@ class RNNCell(BaseRNNCell):
         Number of units in output symbol.
     activation : str or Symbol, default 'tanh'
         Type of activation function. Options are 'relu' and 'tanh'.
-    prefix : str, default 'rnn_'
+    prefix : str, default ``'rnn_'``
         Prefix for name of layers (and name of weight if params is None).
     params : RNNParams, default None
         Container for weight sharing between cells. Created if None.
@@ -412,7 +412,7 @@ class LSTMCell(BaseRNNCell):
     ----------
     num_hidden : int
         Number of units in output symbol.
-    prefix : str, default 'lstm_'
+    prefix : str, default ``'lstm_'``
         Prefix for name of layers (and name of weight if params is None).
     params : RNNParams, default None
         Container for weight sharing between cells. Created if None.
@@ -475,7 +475,7 @@ class GRUCell(BaseRNNCell):
     ----------
     num_hidden : int
         Number of units in output symbol.
-    prefix : str, default 'gru_'
+    prefix : str, default ``'gru_'``
         Prefix for name of layers (and name of weight if params is None).
     params : RNNParams, default None
         Container for weight sharing between cells. Created if None.
@@ -554,7 +554,7 @@ class FusedRNNCell(BaseRNNCell):
         Whether to return the states that can be used as starting states next time.
     forget_bias : bias added to forget gate, default 1.0.
         Jozefowicz et al. 2015 recommends setting this to 1.0
-    prefix : str, default '$mode_' such as 'lstm_'
+    prefix : str, default ``'$mode_'`` such as ``'lstm_'``
         Prefix for names of layers
         (this prefix is also used for names of weights if `params` is None
         i.e. if `params` are being created and not reused)
@@ -832,7 +832,7 @@ class DropoutCell(BaseRNNCell):
     dropout : float
         Percentage of elements to drop out, which
         is 1 - percentage to retain.
-    prefix : str, default 'dropout_'
+    prefix : str, default ``'dropout_'``
         Prefix for names of layers
         (this prefix is also used for names of weights if `params` is None
         i.e. if `params` are being created and not reused)
@@ -1007,7 +1007,7 @@ class BidirectionalCell(BaseRNNCell):
     params : RNNParams, default None.
         Container for weight sharing between cells.
         A new RNNParams container is created if `params` is None.
-    output_prefix : str, default 'bi_'
+    output_prefix : str, default ``'bi_'``
         prefix for name of output
     """
     def __init__(self, l_cell, r_cell, params=None, output_prefix='bi_'):
@@ -1207,7 +1207,7 @@ class ConvRNNCell(BaseConvRNNCell):
     activation : str or Symbol,
         default functools.partial(symbol.LeakyReLU, act_type='leaky', slope=0.2)
         Type of activation function.
-    prefix : str, default 'ConvRNN_'
+    prefix : str, default ``'ConvRNN_'``
         Prefix for name of layers (and name of weight if params is None).
     params : RNNParams, default None
         Container for weight sharing between cells. Created if None.
@@ -1287,7 +1287,7 @@ class ConvLSTMCell(BaseConvRNNCell):
     activation : str or Symbol
         default functools.partial(symbol.LeakyReLU, act_type='leaky', slope=0.2)
         Type of activation function.
-    prefix : str, default 'ConvLSTM_'
+    prefix : str, default ``'ConvLSTM_'``
         Prefix for name of layers (and name of weight if params is None).
     params : RNNParams, default None
         Container for weight sharing between cells. Created if None.
@@ -1379,7 +1379,7 @@ class ConvGRUCell(BaseConvRNNCell):
     activation : str or Symbol,
         default functools.partial(symbol.LeakyReLU, act_type='leaky', slope=0.2)
         Type of activation function.
-    prefix : str, default 'ConvGRU_'
+    prefix : str, default ``'ConvGRU_'``
         Prefix for name of layers (and name of weight if params is None).
     params : RNNParams, default None
         Container for weight sharing between cells. Created if None.