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authorGravatar Mark Daoust <markdaoust@google.com>2018-08-08 12:47:33 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-08-08 12:51:36 -0700
commit054b0463ebd748b7fe41e5ac22337c8df0ed9821 (patch)
tree604d1f521f809830bbdfc9986f025c4633ae9296 /tensorflow/docs_src
parent4827c10422cf23a8a445dbbe9165340cb6ac3cc9 (diff)
Move Estimator Overview to first element of "High Level APIs".
PiperOrigin-RevId: 207930697
Diffstat (limited to 'tensorflow/docs_src')
-rw-r--r--tensorflow/docs_src/guide/estimators.md7
-rw-r--r--tensorflow/docs_src/guide/index.md5
-rw-r--r--tensorflow/docs_src/guide/leftnav_files2
3 files changed, 8 insertions, 6 deletions
diff --git a/tensorflow/docs_src/guide/estimators.md b/tensorflow/docs_src/guide/estimators.md
index ed9a3da284..7b54e3de29 100644
--- a/tensorflow/docs_src/guide/estimators.md
+++ b/tensorflow/docs_src/guide/estimators.md
@@ -13,6 +13,9 @@ You may either use the pre-made Estimators we provide or write your
own custom Estimators. All Estimators--whether pre-made or custom--are
classes based on the `tf.estimator.Estimator` class.
+For a quick example try [Estimator tutorials]](../tutorials/estimators/linear).
+To see each sub-topic in depth, see the [Estimator guides](premade_estimators).
+
Note: TensorFlow also includes a deprecated `Estimator` class at
`tf.contrib.learn.Estimator`, which you should not use.
@@ -29,14 +32,14 @@ Estimators provide the following benefits:
* You can develop a state of the art model with high-level intuitive code.
In short, it is generally much easier to create models with Estimators
than with the low-level TensorFlow APIs.
-* Estimators are themselves built on `tf.layers`, which
+* Estimators are themselves built on `tf.keras.layers`, which
simplifies customization.
* Estimators build the graph for you.
* Estimators provide a safe distributed training loop that controls how and
when to:
* build the graph
* initialize variables
- * start queues
+ * load data
* handle exceptions
* create checkpoint files and recover from failures
* save summaries for TensorBoard
diff --git a/tensorflow/docs_src/guide/index.md b/tensorflow/docs_src/guide/index.md
index f78dfc9a89..1c920e7d70 100644
--- a/tensorflow/docs_src/guide/index.md
+++ b/tensorflow/docs_src/guide/index.md
@@ -9,14 +9,13 @@ works. The units are as follows:
training deep learning models.
* @{$guide/eager}, an API for writing TensorFlow code
imperatively, like you would use Numpy.
- * @{$guide/estimators}, a high-level API that provides
- fully-packaged models ready for large-scale training and production.
* @{$guide/datasets}, easy input pipelines to bring your data into
your TensorFlow program.
+ * @{$guide/estimators}, a high-level API that provides
+ fully-packaged models ready for large-scale training and production.
## Estimators
-* @{$estimators}, learn how to use Estimators for machine learning.
* @{$premade_estimators}, the basics of premade Estimators.
* @{$checkpoints}, save training progress and resume where you left off.
* @{$feature_columns}, handle a variety of input data types without changes to the model.
diff --git a/tensorflow/docs_src/guide/leftnav_files b/tensorflow/docs_src/guide/leftnav_files
index c4e235b41a..8e227e0c8f 100644
--- a/tensorflow/docs_src/guide/leftnav_files
+++ b/tensorflow/docs_src/guide/leftnav_files
@@ -4,9 +4,9 @@ index.md
keras.md
eager.md
datasets.md
+estimators.md: Introduction to Estimators
### Estimators
-estimators.md: Introduction to Estimators
premade_estimators.md
checkpoints.md
feature_columns.md