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author | 2016-02-23 12:32:01 -0800 | |
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committer | 2016-02-23 12:57:03 -0800 | |
commit | 632a7fdcb98cdccb29bb5a3dae75e73fba6daf67 (patch) | |
tree | f80327d00b2a5cd8648a73a181f384d8c3004f60 | |
parent | c9b6b3509f15da16028eb865ddff0331da9d8aaa (diff) |
Add tensorboard graph visualization link to graph visualization how-to
Change: 115371065
-rw-r--r-- | tensorflow/g3doc/how_tos/graph_viz/index.md | 5 |
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 index 99238ac4a5..0126387603 100644 --- 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 |