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[DOCS][41222] Missing words in HDDL documentation #3105

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Nov 16, 2020
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[DOCS][41222] Missing words in HDDL documentation #3105

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8 changes: 4 additions & 4 deletions docs/IE_DG/supported_plugins/HDDL.md
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Expand Up @@ -2,15 +2,15 @@

## Introducing HDDL Plugin

The Inference Engine HDDL plugin is developed for inference of neural networks on Intel® Vision Accelerator Design with Intel® Movidius™ VPUs which is designed for use cases those require large throughput of deep learning inference. It provides dozens amount of throughput as MYRIAD Plugin.
The Inference Engine HDDL plugin is developed for inference of neural networks on the Intel® Vision Accelerator Design with Intel® Movidius™ VPUs. It is designed for use cases which require large throughputs of deep learning inference. It provides dozens of times the throughput as the MYRIAD Plugin does.

## Installation on Linux* OS

For installation instructions, refer to the [Installation Guide for Linux\*](VPU.md).
For installation instructions, refer to the [Installation Guide for Linux*](VPU.md).

## Installation on Windows* OS

For installation instructions, refer to the [Installation Guide for Windows\*](Supported_Devices.md).
For installation instructions, refer to the [Installation Guide for Windows*](Supported_Devices.md).

## Supported networks

Expand All @@ -30,7 +30,7 @@ In addition to common parameters for Myriad plugin and HDDL plugin, HDDL plugin
| KEY_VPU_HDDL_STREAM_ID | string | empty string | Allows to execute inference on a specified device. |
| KEY_VPU_HDDL_DEVICE_TAG | string | empty string | Allows to allocate/deallocate networks on specified devices. |
| KEY_VPU_HDDL_BIND_DEVICE | YES/NO | NO | Whether the network should bind to a device. Refer to vpu_plugin_config.hpp. |
| KEY_VPU_HDDL_RUNTIME_PRIORITY | singed int | 0 | Specify the runtime priority of a device among all devices that running a same network Refer to vpu_plugin_config.hpp. |
| KEY_VPU_HDDL_RUNTIME_PRIORITY | singed int | 0 | Specify the runtime priority of a device among all devices that are running the same network. Refer to vpu_plugin_config.hpp. |

## See Also

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