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Updating broken link on getting started linux doc (#2507) 

Link to build instructions was broken, updated link to the correct location.
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Jesus Espinoza 2020-10-16 09:02:41 -07:00 committed by GitHub
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@ -12,7 +12,7 @@ the OpenVINO™ Toolkit on Linux\*. With this guide, you will learn how to:
## Prerequisites ## Prerequisites
1. This guide assumes that you have already cloned the `openvino` repo and 1. This guide assumes that you have already cloned the `openvino` repo and
successfully built the Inference Engine and Samples using the successfully built the Inference Engine and Samples using the
[build instructions](inference-engine/README.md). [build instructions](build-instruction.md).
2. The original structure of the repository directories remains unchanged. 2. The original structure of the repository directories remains unchanged.
> **NOTE**: Below, the directory to which the `openvino` repository is cloned is > **NOTE**: Below, the directory to which the `openvino` repository is cloned is
@ -188,7 +188,7 @@ Now you are ready to run the Image Classification Sample Application.
## Run the Image Classification Sample Application ## Run the Image Classification Sample Application
The Inference Engine sample applications are automatically compiled when you The Inference Engine sample applications are automatically compiled when you
built the Inference Engine using the [build instructions](inference-engine/README.md). built the Inference Engine using the [build instructions](build-instruction.md).
The binary files are located in the `<OPENVINO_DIR>/inference-engine/bin/intel64/Release` The binary files are located in the `<OPENVINO_DIR>/inference-engine/bin/intel64/Release`
directory. directory.
@ -253,7 +253,7 @@ Throughput: 375.3339402 FPS
## Additional Resources ## Additional Resources
* [OpenVINO™ Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNotes) * [OpenVINO™ Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNotes)
* [Inference Engine build instructions](inference-engine/README.md) * [Inference Engine build instructions](build-instruction.md)
* [Introduction to Intel® Deep Learning Deployment Toolkit](https://docs.openvinotoolkit.org/latest/_docs_IE_DG_Introduction.html) * [Introduction to Intel® 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) * [Inference Engine Developer Guide](https://docs.openvinotoolkit.org/latest/_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide.html)
* [Model Optimizer Developer Guide] * [Model Optimizer Developer Guide]
@ -264,4 +264,4 @@ Throughput: 375.3339402 FPS
[OpenVINO™ pre-trained models]:https://github.com/opencv/open_model_zoo/tree/master/models/intel [OpenVINO™ pre-trained models]:https://github.com/opencv/open_model_zoo/tree/master/models/intel
[prerequisites]:https://github.com/opencv/open_model_zoo/tree/master/tools/downloader#prerequisites [prerequisites]:https://github.com/opencv/open_model_zoo/tree/master/tools/downloader#prerequisites
[list of supported devices]:https://docs.openvinotoolkit.org/latest/_docs_IE_DG_supported_plugins_Supported_Devices.html [list of supported devices]:https://docs.openvinotoolkit.org/latest/_docs_IE_DG_supported_plugins_Supported_Devices.html
[different precision formats]:https://docs.openvinotoolkit.org/latest/_docs_IE_DG_supported_plugins_Supported_Devices.html#supported_model_formats [different precision formats]:https://docs.openvinotoolkit.org/latest/_docs_IE_DG_supported_plugins_Supported_Devices.html#supported_model_formats