diff --git a/paddle/fluid/operators/activation_op.cc b/paddle/fluid/operators/activation_op.cc
index c73482eb12e882fe15a595ad485ae688db346803..8743c9500a9c3a7cc05d3b0aeb16ac5c50bd7f1e 100644
--- a/paddle/fluid/operators/activation_op.cc
+++ b/paddle/fluid/operators/activation_op.cc
@@ -133,7 +133,7 @@ $out = \max(x, 0)$
 __attribute__((unused)) constexpr char TanhDoc[] = R"DOC(
 Tanh Activation Operator.
 
-$$out = \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}$$
+$$out = \\frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}$$
 
 )DOC";
 
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index c6c8c7c2d13220e3ff81bbc974bb0a5ef8a5d3eb..485470f2819c60b8b5e7c324bac2192b7024978f 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -4475,6 +4475,7 @@ def image_resize(input,
     and the resizing only applies on the last two dimensions(hight and width).
 
     Supporting resample methods:
+
         'BILINEAR' : Bilinear interpolation
 
     Args:
@@ -4494,8 +4495,8 @@ def image_resize(input,
                        Default: 'BILINEAR'
 
     Returns:
-        out (Variable): The output is a 4-D tensor of the shape
-                        (num_batches, channls, out_h, out_w).
+        Variable: The output is a 4-D tensor of the shape
+        (num_batches, channls, out_h, out_w).
 
     Examples:
         .. code-block:: python
@@ -4579,7 +4580,7 @@ def image_resize_short(input, out_short_len, resample='BILINEAR'):
         resample (str): resample method, default: BILINEAR.
 
     Returns:
-        out (Variable): The output is a 4-D tensor of the shape
+        Variable: The output is a 4-D tensor of the shape
                         (num_batches, channls, out_h, out_w).
     """
     in_shape = input.shape