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authorGravatar Olivia Nordquist <nolivia@google.com>2017-02-06 14:41:00 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-02-06 14:48:45 -0800
commitbd5e4280e270c045d14a76b992f655e3f3d8192c (patch)
treefab7e88037f37a204b9630600f2174f7b9b2a889 /tensorflow/g3doc
parent7d85717cb148ddb5fa4c2ee1686dc78e26866079 (diff)
making it exactly like the code snippet
Change: 146713025
Diffstat (limited to 'tensorflow/g3doc')
-rw-r--r--tensorflow/g3doc/tutorials/mnist/pros/index.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/g3doc/tutorials/mnist/pros/index.md b/tensorflow/g3doc/tutorials/mnist/pros/index.md
index 8638d6e0ee..7f915f86b7 100644
--- a/tensorflow/g3doc/tutorials/mnist/pros/index.md
+++ b/tensorflow/g3doc/tutorials/mnist/pros/index.md
@@ -204,7 +204,7 @@ updates to the parameters. Training the model can therefore be accomplished by
repeatedly running `train_step`.
```python
-for i in range(1000):
+for _ in range(1000):
batch = mnist.train.next_batch(100)
train_step.run(feed_dict={x: batch[0], y_: batch[1]})
```