From 054b0463ebd748b7fe41e5ac22337c8df0ed9821 Mon Sep 17 00:00:00 2001
From: Mark Daoust <markdaoust@google.com>
Date: Wed, 8 Aug 2018 12:47:33 -0700
Subject: Move Estimator Overview to first element of "High Level APIs".

PiperOrigin-RevId: 207930697
---
 tensorflow/docs_src/guide/estimators.md | 7 +++++--
 tensorflow/docs_src/guide/index.md      | 5 ++---
 tensorflow/docs_src/guide/leftnav_files | 2 +-
 3 files changed, 8 insertions(+), 6 deletions(-)

(limited to 'tensorflow/docs_src')

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
-- 
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