message: Fix broken link of typical distributed configuration in graphs.md
diff: @@ -210,9 +210,8 @@ with tf.device("/device:GPU:0"):
  # Operations created in this context will be pinned to the GPU.
  result = tf.matmul(weights, img)
  ```
  -If you are deploying TensorFlow in a @{$deploy/distributed$typical distributed configuration},
  -you might specify the job name and task ID to place variables on
  -a task in the parameter server job (`"/job:ps"`), and the other operations on
  +
  +If you are deploying TensorFlow in a typical @{$deploy/distributed} configuration, you might specify the job name and task ID to place variables on a task in the parameter server job (`"/job:ps"`), and the other operations on
  task in the worker job (`"/job:worker"`):
  ```python
  