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-rw-r--r--tensorflow/docs_src/guide/estimators.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/guide/estimators.md b/tensorflow/docs_src/guide/estimators.md
index 7b54e3de29..3903bfd126 100644
--- a/tensorflow/docs_src/guide/estimators.md
+++ b/tensorflow/docs_src/guide/estimators.md
@@ -84,7 +84,7 @@ of the following four steps:
... # manipulate dataset, extracting the feature dict and the label
return feature_dict, label
- (See @{$guide/datasets} for full details.)
+ (See [Importing Data](../guide/datasets.md) for full details.)
2. **Define the feature columns.** Each `tf.feature_column`
identifies a feature name, its type, and any input pre-processing.
@@ -136,7 +136,7 @@ The heart of every Estimator--whether pre-made or custom--is its
evaluation, and prediction. When you are using a pre-made Estimator,
someone else has already implemented the model function. When relying
on a custom Estimator, you must write the model function yourself. A
-@{$custom_estimators$companion document}
+[companion document](../guide/custom_estimators.md)
explains how to write the model function.