Move overview content from main readme into sphynx project

CHANGELOG.rst

@@ -2,13 +2,16 @@
 CHANGELOG
 =========
 
+
 1.18.4.dev
 ==========
 
 * doc-fix: Remove incorrect parameter for EI TFS Python README
 * feature: ``Predictor``: delete SageMaker model
 * feature: ``Pipeline``: delete SageMaker model
 * bug-fix: Estimator.attach works with training jobs without hyperparameters
+* doc-fix: remove duplicate content from mxnet/README.rst
+* doc-fix: move overview content in main README into sphynx project
 * bug-fix: pass accelerator_type in ``deploy`` for REST API TFS ``Model``
 
 1.18.3.post1

doc/index.rst

@@ -1,14 +1,22 @@
+###########################
 Amazon SageMaker Python SDK
-===========================
+###########################
 Amazon SageMaker Python SDK is an open source library for training and deploying machine-learned models on Amazon SageMaker.
 
 With the SDK, you can train and deploy models using popular deep learning frameworks, algorithms provided by Amazon, or your own algorithms built into SageMaker-compatible Docker images.
 
-Here you'll find API docs for SageMaker Python SDK. The project homepage is in Github: https://github.com/aws/sagemaker-python-sdk, where you can find the SDK source, installation instructions and a general overview of the library.
+Here you'll find an overview and API documentation for SageMaker Python SDK. The project homepage is in Github: https://github.com/aws/sagemaker-python-sdk, where you can find the SDK source and installation instructions for the library.
 
+********
 Overview
---------
-The SageMaker Python SDK consists of a few primary interfaces:
+********
+
+.. toctree::
+    :maxdepth: 2
+
+    overview
+
+The SageMaker Python SDK consists of a few primary classes:
 
 .. toctree::
     :maxdepth: 2
@@ -22,8 +30,9 @@ The SageMaker Python SDK consists of a few primary interfaces:
     session
     analytics
 
+*****
 MXNet
------
+*****
 A managed environment for MXNet training and hosting on Amazon SageMaker
 
 .. toctree::
@@ -36,62 +45,69 @@ A managed environment for MXNet training and hosting on Amazon SageMaker
 
     sagemaker.mxnet
 
+**********
 TensorFlow
-----------
+**********
 A managed environment for TensorFlow training and hosting on Amazon SageMaker
 
 .. toctree::
     :maxdepth: 2
 
     sagemaker.tensorflow
 
+************
 Scikit-Learn
-------------
+************
 A managed enrionment for Scikit-learn training and hosting on Amazon SageMaker
 
 .. toctree::
     :maxdepth: 2
 
     sagemaker.sklearn
 
+*******
 PyTorch
--------
+*******
 A managed environment for PyTorch training and hosting on Amazon SageMaker
 
 .. toctree::
     :maxdepth: 2
 
     sagemaker.pytorch
 
+*******
 Chainer
--------
+*******
 A managed environment for Chainer training and hosting on Amazon SageMaker
 
 .. toctree::
     :maxdepth: 2
 
     sagemaker.chainer
 
+**********************
 Reinforcement Learning
-----------------------
+**********************
 A managed environment for Reinforcement Learning training and hosting on Amazon SageMaker
 
 .. toctree::
     :maxdepth: 2
 
     sagemaker.rl
 
+***************
 SparkML Serving
----------------
+***************
 A managed environment for SparkML hosting on Amazon SageMaker
 
 .. toctree::
     :maxdepth: 2
 
     sagemaker.sparkml
 
+********************************
 SageMaker First-Party Algorithms
---------------------------------
+********************************
 Amazon provides implementations of some common machine learning algortithms optimized for GPU architecture and massive datasets.
 
 .. toctree::
@@ -109,8 +125,9 @@ Amazon provides implementations of some common machine learning algortithms opti
     pca
     randomcutforest
 
+*********
 Workflows
----------
+*********
 SageMaker APIs to export configurations for creating and managing Airflow workflows.
 
 .. toctree::