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author | 2017-06-13 13:07:04 -0700 | |
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committer | 2017-06-13 13:10:57 -0700 | |
commit | a37c7fb8a0aed065fa7be99c27a9630e658c5713 (patch) | |
tree | 91362cee3ec3d179e7facb56c9a1be9e0e3f160b | |
parent | 30996600996e957d394dd229061cb7684dfdf27f (diff) |
Fix bad link
PiperOrigin-RevId: 158886281
-rw-r--r-- | tensorflow/docs_src/programmers_guide/index.md | 10 |
1 files changed, 4 insertions, 6 deletions
diff --git a/tensorflow/docs_src/programmers_guide/index.md b/tensorflow/docs_src/programmers_guide/index.md index acdca2bad4..5ed7c09a57 100644 --- a/tensorflow/docs_src/programmers_guide/index.md +++ b/tensorflow/docs_src/programmers_guide/index.md @@ -24,13 +24,11 @@ days: session. TensorFlow provides a debugger named `tfdbg`, which is documented in the -following two guides: +following guide: - * @{$debugger$TensorFlow Debugger (tfdbg) Command-Line-Interface Tutorial: MNIST}, - which walks you through the use of `tfdbg` within an application written - in the low-level TensorFlow API. - * @{$tfdbg-tflearn$How to Use TensorFlow Debugger (tfdbg) with tf.contrib.learn}, - which demonstrates how to use `tfdbg` within the Estimators API. + * @{$debugger$Debugging TensorFlow Programs}, + which walks you through the use of `tfdbg` within an application. It covers + using `tfdbg` with both the low-level TensorFlow API and the Estimator API. A `MetaGraph` consists of both a computational graph and its associated metadata. A `MetaGraph` contains the information required to continue |