diff --git a/python/paddle/fluid/backward.py b/python/paddle/fluid/backward.py
index 95421704db6246e30c56811ed6912a8803d207ba..f7bbc98fe1f41c3a049692d36915d0a722779416 100644
--- a/python/paddle/fluid/backward.py
+++ b/python/paddle/fluid/backward.py
@@ -489,10 +489,10 @@ def append_backward(loss, parameter_list=None, no_grad_set=None,
     Examples:
         .. code-block:: python
 
-        # network configuration code
-        # ...
-        avg_loss = fluid.layers.mean(loss)
-        param_grad_list = fluid.backward.append_backward(loss=avg_loss)
+            # network configuration code
+            # ...
+            avg_loss = fluid.layers.mean(loss)
+            param_grad_list = fluid.backward.append_backward(loss=avg_loss)
     """
     assert isinstance(loss, framework.Variable)
 
diff --git a/python/paddle/fluid/io.py b/python/paddle/fluid/io.py
index 88e7e3bb20b7ac216d83d7d96392e96f242d1099..6e527572f1ca77be9fe069654db00d16ad5c21ef 100644
--- a/python/paddle/fluid/io.py
+++ b/python/paddle/fluid/io.py
@@ -886,8 +886,8 @@ def load_checkpoint(executor, checkpoint_dir, serial, main_program):
     `checkpoint_dir` directory.
 
     In the training precess, we generally save a checkpoint in each
-    iteration. So there are more than one checkpoint in the
-    `checkpoint_dir`(each checkpoint has its own sub folder), use
+    iteration. So there are more than one checkpoint in the 
+    `checkpoint_dir` (each checkpoint has its own sub folder), use 
     `serial` to specify which serial of checkpoint you would like to
     load.