message: DOC: Fix typo.
  you could could be I/O bottlenecked.
  TO:
  you could be I/O bottlenecked.
diff: @@ -104,7 +104,7 @@ with tf.device('/cpu:0'):
  Under some circumstances, both the CPU and GPU can be starved for data by the
  I/O system. If you are using many small files to form your input data set, you
  may be limited by the speed of your filesystem. If your training loop runs
  -faster when using SSDs vs HDDs for storing your input data, you could could be
  +faster when using SSDs vs HDDs for storing your input data, you could be
  I/O bottlenecked.
  If this is the case, you should pre-process your input data, creating a few
  