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author | 2016-01-12 08:06:29 -0800 | |
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committer | 2016-01-12 08:06:29 -0800 | |
commit | 3034eef57a9e6a080eae457a5ee8480fadd377ea (patch) | |
tree | d2e73b4f4c459c69fbd534ba2342139c18f5ab7f /tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md | |
parent | 339186c1a9606bc0d333e61e314c2db12b4ac24f (diff) |
Fix error in link to mnist_with_summaries.py
Change: 111920304
Diffstat (limited to 'tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md')
-rw-r--r-- | tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md b/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md index 8549368e98..1de747f966 100644 --- a/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md +++ b/tensorflow/g3doc/how_tos/summaries_and_tensorboard/index.md @@ -69,7 +69,7 @@ The code example below is a modification of the [simple MNIST tutorial] added some summary ops, and run them every ten steps. If you run this and then launch `tensorboard --logdir=/tmp/mnist_logs`, you'll be able to visualize statistics, such as how the weights or accuracy varied during training. -The code below is an excerpt; full source is [here](../../tutorials/mnist/mnist_with_summaries.py). +The code below is an excerpt; full source is [here](https://www.tensorflow.org/code/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py). ```python # Create the model |