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authorGravatar James Wexler <james_wexler@yahoo.com>2016-02-23 12:32:01 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-02-23 12:57:03 -0800
commit632a7fdcb98cdccb29bb5a3dae75e73fba6daf67 (patch)
treef80327d00b2a5cd8648a73a181f384d8c3004f60
parentc9b6b3509f15da16028eb865ddff0331da9d8aaa (diff)
Add tensorboard graph visualization link to graph visualization how-to
Change: 115371065
-rw-r--r--tensorflow/g3doc/how_tos/graph_viz/index.md5
1 files changed, 5 insertions, 0 deletions
diff --git a/tensorflow/g3doc/how_tos/graph_viz/index.md b/tensorflow/g3doc/how_tos/graph_viz/index.md
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--- a/tensorflow/g3doc/how_tos/graph_viz/index.md
+++ b/tensorflow/g3doc/how_tos/graph_viz/index.md
@@ -7,6 +7,11 @@ TensorFlow computation graphs are powerful but complicated. The graph visualizat
To see your own graph, run TensorBoard pointing it to the log directory of the job, click on the graph tab on the top pane and select the appropriate run using the menu at the upper left corner. For in depth information on how to run TensorBoard and make sure you are logging all the necessary information, see [TensorBoard: Visualizing Learning](../../how_tos/summaries_and_tensorboard/index.md).
+You can interact with an instance of TensorBoard looking at data from a
+[CIFAR-10](../../tutorials/deep_cnn/index.md) training session, including the
+graph visualization, by clicking
+[here](https://www.tensorflow.org/tensorboard/cifar.html#graphs).
+
## Name scoping and nodes
Typical TensorFlow graphs can have many thousands of nodes--far too many to see