TensorFlow: upstream changes to git (doc fixes).

Changes:

- Fix typos across several files contributed by Erik Erwitt,
  and Michael R. Berstein

- Fix bug in translate example (fr->en typo) by schuster

- Updates to some documentation (mcoram,shlens,vrv,joshl)

- Fix to Android camera demo app window size detection (andrewharp)

- Fix to support lookup table of high rank tensors (yleon)

- Fix invalid op names for parse_example (dga)

Base CL: 107531031

1 files changed, 8 insertions, 3 deletions

diff --git a/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md b/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md
index f7c87284af..8de7b080eb 100644
--- a/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md
+++ b/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md
@@ -83,7 +83,9 @@ You're now all set to visualize this data using TensorBoard.
 
 To run TensorBoard, use the command
 
-    python tensorflow/tensorboard/tensorboard.py --logdir=path/to/log-directory
+```bash
+python tensorflow/tensorboard/tensorboard.py --logdir=path/to/log-directory
+```
 
 where `logdir` points to the directory where the `SummaryWriter` serialized its
 data.  If this `logdir` directory contains subdirectories which contain
@@ -91,9 +93,12 @@ serialized data from separate runs, then TensorBoard will visualize the data
 from all of those runs. Once TensorBoard is running, navigate your web browser
 to `localhost:6006` to view the TensorBoard.
 
-If you have pip installed TensorBoard, you can use the simpler command
+If you have pip installed TensorFlow, `tensorboard` is installed into
+the system path, so you can use the simpler command
 
-    tensorboard --logdir=/path/to/log-directory
+```bash
+tensorboard --logdir=/path/to/log-directory
+```
 
 When looking at TensorBoard, you will see the navigation tabs in the top right
 corner. Each tab represents a set of serialized data that can be visualized.