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authorGravatar Dandelion Man? <dandelion@google.com>2017-05-15 10:52:13 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-05-15 10:57:02 -0700
commit03bad01fa62b5a47caf9011114877a3a59152042 (patch)
tree6a27492ac1b36ab6eeb1d41fc2aae442546e0d16 /tensorflow/python/summary
parentd5b91405c0641e2067f7bb6a6c57e74b2a884418 (diff)
Add a tutorial that explains the TensorBoard histogram dashboard.
PiperOrigin-RevId: 156074304
Diffstat (limited to 'tensorflow/python/summary')
-rw-r--r--tensorflow/python/summary/summary.py5
1 files changed, 5 insertions, 0 deletions
diff --git a/tensorflow/python/summary/summary.py b/tensorflow/python/summary/summary.py
index d130588fa2..efcc59465a 100644
--- a/tensorflow/python/summary/summary.py
+++ b/tensorflow/python/summary/summary.py
@@ -190,6 +190,11 @@ def histogram(name, values, collections=None):
# pylint: disable=line-too-long
"""Outputs a `Summary` protocol buffer with a histogram.
+ Adding a histogram summary makes it possible to visualize your data's
+ distribution in TensorBoard. You can see a detailed explanation of the
+ TensorBoard histogram dashboard
+ [here](https://www.tensorflow.org/get_started/tensorboard_histograms).
+
The generated
[`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
has one summary value containing a histogram for `values`.