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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-06-26 14:00:17 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-06-26 14:04:35 -0700
commit1fa73c53ab95693f070ce70e6be0c644d83c163a (patch)
treeffbedf825daf1f3453c695a433c8a9cdf93f6019 /tensorflow/examples/tutorials/mnist
parentb13e96e21c1229a905a623111dd89d2bd0cba53b (diff)
Automated g4 rollback of changelist 160182040
PiperOrigin-RevId: 160190881
Diffstat (limited to 'tensorflow/examples/tutorials/mnist')
-rw-r--r--tensorflow/examples/tutorials/mnist/mnist.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/tutorials/mnist/mnist.py b/tensorflow/examples/tutorials/mnist/mnist.py
index 3585043a2a..d533697976 100644
--- a/tensorflow/examples/tutorials/mnist/mnist.py
+++ b/tensorflow/examples/tutorials/mnist/mnist.py
@@ -17,7 +17,7 @@
Implements the inference/loss/training pattern for model building.
-1. inference() - Builds the model as far as required for running the network
+1. inference() - Builds the model as far as is required for running the network
forward to make predictions.
2. loss() - Adds to the inference model the layers required to generate loss.
3. training() - Adds to the loss model the Ops required to generate and