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Diffstat (limited to 'tensorflow/docs_src/guide/datasets_for_estimators.md')
| -rw-r--r-- | tensorflow/docs_src/guide/datasets_for_estimators.md | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/tensorflow/docs_src/guide/datasets_for_estimators.md b/tensorflow/docs_src/guide/datasets_for_estimators.md index 969ea579f7..09a3830ca9 100644 --- a/tensorflow/docs_src/guide/datasets_for_estimators.md +++ b/tensorflow/docs_src/guide/datasets_for_estimators.md @@ -14,7 +14,7 @@ introduces the API by walking through two simple examples: Taking slices from an array is the simplest way to get started with `tf.data`. -The @{$premade_estimators$Premade Estimators} chapter describes +The [Premade Estimators](../guide/premade_estimators.md) chapter describes the following `train_input_fn`, from [`iris_data.py`](https://github.com/tensorflow/models/blob/master/samples/core/get_started/iris_data.py), to pipe the data into the Estimator: @@ -91,8 +91,8 @@ print(mnist_ds) ``` This will print the following line, showing the -@{$guide/tensors#shapes$shapes} and -@{$guide/tensors#data_types$types} of the items in +[shapes](../guide/tensors.md#shapes) and +[types](../guide/tensors.md#data_types) of the items in the dataset. Note that a `Dataset` does not know how many items it contains. ``` None @@ -128,7 +128,7 @@ print(dataset) Here we see that when a `Dataset` contains structured elements, the `shapes` and `types` of the `Dataset` take on the same structure. This dataset contains -dictionaries of @{$guide/tensors#rank$scalars}, all of type +dictionaries of [scalars](../guide/tensors.md#rank), all of type `tf.float64`. The first line of the iris `train_input_fn` uses the same functionality, but @@ -377,11 +377,11 @@ Now you have the basic idea of how to efficiently load data into an Estimator. Consider the following documents next: -* @{$custom_estimators}, which demonstrates how to build your own +* [Creating Custom Estimators](../guide/custom_estimators.md), which demonstrates how to build your own custom `Estimator` model. -* The @{$low_level_intro#datasets$Low Level Introduction}, which demonstrates +* The [Low Level Introduction](../guide/low_level_intro.md#datasets), which demonstrates how to experiment directly with `tf.data.Datasets` using TensorFlow's low level APIs. -* @{$guide/datasets} which goes into great detail about additional +* [Importing Data](../guide/datasets.md) which goes into great detail about additional functionality of `Datasets`. |