diff --git a/docs/IE_DG/supported_plugins/HDDL.md b/docs/IE_DG/supported_plugins/HDDL.md index cc53925558e25e..9e858b4754d5e8 100644 --- a/docs/IE_DG/supported_plugins/HDDL.md +++ b/docs/IE_DG/supported_plugins/HDDL.md @@ -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 @@ -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