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Diffstat (limited to 'tensorflow/docs_src/tutorials/representation/linear.md')
| -rw-r--r-- | tensorflow/docs_src/tutorials/representation/linear.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/tutorials/representation/linear.md b/tensorflow/docs_src/tutorials/representation/linear.md index 014409c617..4f0e67f08e 100644 --- a/tensorflow/docs_src/tutorials/representation/linear.md +++ b/tensorflow/docs_src/tutorials/representation/linear.md @@ -18,7 +18,7 @@ tutorial walks through the code in greater detail. To understand this overview it will help to have some familiarity with basic machine learning concepts, and also with -@{$premade_estimators$Estimators}. +[Estimators](../../guide/premade_estimators.md). [TOC] @@ -175,7 +175,7 @@ the data itself. You provide the data through an input function. The input function must return a dictionary of tensors. Each key corresponds to the name of a `FeatureColumn`. Each key's value is a tensor containing the values of that feature for all data instances. See -@{$premade_estimators#input_fn} for a +[Premade Estimators](../../guide/premade_estimators.md#input_fn) for a more comprehensive look at input functions, and `input_fn` in the [wide and deep learning tutorial](https://github.com/tensorflow/models/tree/master/official/wide_deep) for an example implementation of an input function. |