# [OpenVINO™ Toolkit](https://01.org/openvinotoolkit) - Deep Learning Deployment Toolkit repository
-[![Stable release](https://img.shields.io/badge/version-2019.R1-green.svg)](https://github.com/opencv/dldt/releases/tag/2019_R1)
+[![Stable release](https://img.shields.io/badge/version-2019.R3-green.svg)](https://github.com/opencv/dldt/releases/tag/2019_R3)
[![Apache License Version 2.0](https://img.shields.io/badge/license-Apache_2.0-green.svg)](LICENSE)
This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.
## Documentation
* [OpenVINO™ Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNotes)
-* Inference Engine [build instructions](inference-engine/README.md)
+* [Inference Engine build instructions](inference-engine/README.md)
+* [Get Started with Deep Learning Deployment Toolkit on Linux*](get-started-linux.md)
+* [Introduction to Deep Learning Deployment Toolkit](https://docs.openvinotoolkit.org/latest/_docs_IE_DG_Introduction.html)
+* [Inference Engine Developer Guide](https://docs.openvinotoolkit.org/latest/_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide.html)
+* [Model Optimizer Developer Guide](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
+
## How to Contribute
We welcome community contributions to the Deep Learning Deployment Toolkit repository. If you have an idea how to improve the product, please share it with us doing the following steps:
## Support
Please report questions, issues and suggestions using:
-* [\#dldt](https://stackoverflow.com/search?q=%23dldt) tag on StackOverflow*
+* [\#openvino](https://stackoverflow.com/search?q=%23openvino) tag on StackOverflow*
* [GitHub* Issues](https://github.com/opencv/dldt/issues)
* [Forum](https://software.intel.com/en-us/forums/computer-vision)