Minor documentation fixes.

Change: 143981932

tensorflow/python/training/supervisor.py

@@ -131,7 +131,7 @@ class Supervisor(object):
     details.
 
   * Specifying `'grpc://hostname:port'` requests a session that uses
-    the RPC interface to a specific , and also allows the in-process
+    the RPC interface to a specific host, and also allows the in-process
     master to access remote tensorflow workers. Often, it is
     appropriate to pass `server.target` (for some `tf.train.Server`
     named `server).
@@ -247,8 +247,8 @@ def __init__(self,
         ready to run the local_init_op.
         The model is considered ready if it returns an empty array.  Defaults to
         the tensor returned from
-        `tf.report_uninitialized_variables(tf.global_variables())`. If `None`, the
-        model is not checked for readiness before running local_init_op.
+        `tf.report_uninitialized_variables(tf.global_variables())`. If `None`,
+        the model is not checked for readiness before running local_init_op.
       is_chief: If True, create a chief supervisor in charge of initializing
         and restoring the model.  If False, create a supervisor that relies
         on a chief supervisor for inits and restore.