Move get_started under tutorials

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diff --git a/tensorflow/docs_src/get_started/index.md b/tensorflow/docs_src/get_started/index.md
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-# Get Started
-
-If you are new to machine learning, we recommend taking the following online
-course prior to diving into TensorFlow documentation:
-
-  * [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course/),
-    which introduces machine learning concepts and encourages experimentation
-    with existing TensorFlow code.
-
-TensorFlow is a tool for machine learning. While it contains a wide range of
-functionality, TensorFlow is mainly designed for deep neural network models.
-
-The easiest way to get started with TensorFlow is by using Eager Execution.
-
-  * @{$get_started/eager}, is for anyone new to machine learning or TensorFlow.
-
-TensorFlow provides many APIs. The remainder of this section focuses on the
-Estimator API which provide scalable, high-performance models. See the
-@{$estimators} guide.
-
-For more advanced users:
-
-  * The @{$low_level_intro$Low Level Introduction} demonstrates how to use
-    TensorFlow outside of the Estimator framework, for debugging and
-    experimentation.
-  * The @{$guide$Programmer's Guide} details major
-    TensorFlow components.
-  * The @{$tutorials$Tutorials} provide walkthroughs of a variety of
-    TensorFlow models.
diff --git a/tensorflow/docs_src/get_started/leftnav_files b/tensorflow/docs_src/get_started/leftnav_files
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-### Learn and use ML
-basic_classification.md: Basic classification
-basic_text_classification.md: Text classification
-basic_regression.md: Regression
-overfit_and_underfit.md
-save_and_restore_models.md
-next_steps.md
-
-### Research and experimentation
-eager.md
diff --git a/tensorflow/docs_src/get_started/_index.yaml b/tensorflow/docs_src/tutorials/_index.yaml
index c3e216b2a6..c3e216b2a6 100644
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diff --git a/tensorflow/docs_src/get_started/eager.md b/tensorflow/docs_src/tutorials/eager/custom_training_walkthrough.md
index ddf239485a..ddf239485a 100644
--- a/tensorflow/docs_src/get_started/eager.md
+++ b/tensorflow/docs_src/tutorials/eager/custom_training_walkthrough.md
diff --git a/tensorflow/docs_src/get_started/basic_classification.md b/tensorflow/docs_src/tutorials/get_started/basic_classification.md
index 91bbd85b24..91bbd85b24 100644
--- a/tensorflow/docs_src/get_started/basic_classification.md
+++ b/tensorflow/docs_src/tutorials/get_started/basic_classification.md
diff --git a/tensorflow/docs_src/get_started/basic_regression.md b/tensorflow/docs_src/tutorials/get_started/basic_regression.md
index a535f22f5a..a535f22f5a 100644
--- a/tensorflow/docs_src/get_started/basic_regression.md
+++ b/tensorflow/docs_src/tutorials/get_started/basic_regression.md
diff --git a/tensorflow/docs_src/get_started/basic_text_classification.md b/tensorflow/docs_src/tutorials/get_started/basic_text_classification.md
index 7c5d4f7896..7c5d4f7896 100644
--- a/tensorflow/docs_src/get_started/basic_text_classification.md
+++ b/tensorflow/docs_src/tutorials/get_started/basic_text_classification.md
diff --git a/tensorflow/docs_src/get_started/next_steps.md b/tensorflow/docs_src/tutorials/get_started/next_steps.md
index 01c9f7204a..01c9f7204a 100644
--- a/tensorflow/docs_src/get_started/next_steps.md
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diff --git a/tensorflow/docs_src/get_started/overfit_and_underfit.md b/tensorflow/docs_src/tutorials/get_started/overfit_and_underfit.md
index e5b5ae7b5a..e5b5ae7b5a 100644
--- a/tensorflow/docs_src/get_started/overfit_and_underfit.md
+++ b/tensorflow/docs_src/tutorials/get_started/overfit_and_underfit.md
diff --git a/tensorflow/docs_src/get_started/save_and_restore_models.md b/tensorflow/docs_src/tutorials/get_started/save_and_restore_models.md
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--- a/tensorflow/docs_src/get_started/save_and_restore_models.md
+++ b/tensorflow/docs_src/tutorials/get_started/save_and_restore_models.md
diff --git a/tensorflow/docs_src/tutorials/index.md b/tensorflow/docs_src/tutorials/index.md
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-# Tutorials
-
-
-This section contains tutorials demonstrating how to do specific tasks
-in TensorFlow.  If you are new to TensorFlow, we recommend reading
-[Get Started with TensorFlow](/get_started/).
-
-## Images
-
-These tutorials cover different aspects of image recognition:
-
-  * @{$layers$MNIST}, which introduces convolutional neural networks (CNNs) and
-    demonstrates how to build a CNN in TensorFlow.
-  * @{$image_recognition}, which introduces the field of image recognition and
-    uses a pre-trained model (Inception) for recognizing images.
-  * @{$image_retraining}, which has a wonderfully self-explanatory title.
-  * @{$deep_cnn}, which demonstrates how to build a small CNN for recognizing
-    images.  This tutorial is aimed at advanced TensorFlow users.
-
-
-## Sequences
-
-These tutorials focus on machine learning problems dealing with sequence data.
-
-  * @{$recurrent}, which demonstrates how to use a
-    recurrent neural network to predict the next word in a sentence.
-  * @{$seq2seq}, which demonstrates how to use a
-    sequence-to-sequence model to translate text from English to French.
-  * @{$recurrent_quickdraw}
-    builds a classification model for drawings, directly from the sequence of
-    pen strokes.
-  * @{$audio_recognition}, which shows how to
-    build a basic speech recognition network.
-
-## Data representation
-
-These tutorials demonstrate various data representations that can be used in
-TensorFlow.
-
-  * @{$wide}, uses
-    @{tf.feature_column$feature columns} to feed a variety of data types
-    to linear model, to solve a classification problem.
-  * @{$wide_and_deep}, builds on the
-    above linear model tutorial, adding a deep feed-forward neural network
-    component and a DNN-compatible data representation.
-  * @{$word2vec}, which demonstrates how to
-    create an embedding for words.
-  * @{$kernel_methods},
-    which shows how to improve the quality of a linear model by using explicit
-    kernel mappings.
-
-## Non Machine Learning
-
-Although TensorFlow specializes in machine learning, the core of TensorFlow is
-a powerful numeric computation system which you can also use to solve other
-kinds of math problems.  For example:
-
-  * @{$mandelbrot}
-  * @{$pdes}