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authorGravatar A. Unique TensorFlower <nobody@tensorflow.org>2016-03-07 22:14:23 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-03-08 17:18:48 -0800
commite98bd22a6c322c7c1f3444e8e0dccff5b358a043 (patch)
tree1f37801278d8fb9657bfe35885159fff1e0d3bd2 /tensorflow/models/image
parentcd2d52070f2bb113e77558663f15d55224725c48 (diff)
Correct minor typo in tutorial comment.
Change: 116622681
Diffstat (limited to 'tensorflow/models/image')
-rw-r--r--tensorflow/models/image/mnist/convolutional.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/models/image/mnist/convolutional.py b/tensorflow/models/image/mnist/convolutional.py
index 5446f1bcad..4627082a28 100644
--- a/tensorflow/models/image/mnist/convolutional.py
+++ b/tensorflow/models/image/mnist/convolutional.py
@@ -285,7 +285,7 @@ def main(argv=None): # pylint: disable=unused-argument
batch_data = train_data[offset:(offset + BATCH_SIZE), ...]
batch_labels = train_labels[offset:(offset + BATCH_SIZE)]
# This dictionary maps the batch data (as a numpy array) to the
- # node in the graph is should be fed to.
+ # node in the graph it should be fed to.
feed_dict = {train_data_node: batch_data,
train_labels_node: batch_labels}
# Run the graph and fetch some of the nodes.