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-rw-r--r--tensorflow/contrib/learn/python/learn/experiment.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/learn/python/learn/experiment.py b/tensorflow/contrib/learn/python/learn/experiment.py
index 3b6399c7e6..475f5beefd 100644
--- a/tensorflow/contrib/learn/python/learn/experiment.py
+++ b/tensorflow/contrib/learn/python/learn/experiment.py
@@ -525,7 +525,7 @@ class Experiment(object):
differences in resource control. First, the resources (e.g., memory) used
by training will be released before evaluation (`train_and_evaluate` takes
double resources). Second, more checkpoints will be saved as a checkpoint
- is generated at the end of each trainning iteration.
+ is generated at the end of each training iteration.
3. As the estimator.train starts from scratch (new graph, new states for
input, etc) at each iteration, it is recommended to have the