Intel provides the OpenVINO toolkit to help developers efficiently deploy deep neural network inference models and accelerate the deep learning and computer vision application from edge to cloud applications based on various Intel hardware platforms, including CPUs, GPUs, vision processing units (VPUs), and field-programmable gate arrays (FPGAs).
Join Zhen Zhao as she explains the structure and workflow of the Intel OpenVINO toolkit, two modules for deep learning deployment and computer vision, optimization methods by asynchronies and heterogeneous computing, low-precision (INT8) inferences, instruction set acceleration with performance libraries, and profiling tools inside of OpenVINO. Along the way, she explores video analytics solutions by integrating Intel OpenVINO for business and industrial application.
Zhen Zhao is a technical consulting engineer at Intel, providing technical consulting and training for AI software solutions, including Intel MKL/MKL-DNN, Intel OpenVINO, and Intel performance libraries (IPP/MKL/DAAL) to Intel strategic customers in the Asia-Pacific, enabling Intel internal and external customers to be successful with Intel platform use through Intel software technology and products.
Zhao为英特尔亚太区战略客户提供英特尔人工智能软件解决方案的技术咨询和培训，包括英特尔MKL/ MKL-DNN、英特尔OpenVINO和英特尔性能库（IPP / MKL / DAAL）。他通过使用英特尔的软件技术和产品，帮助内部和外部客户通过英特尔的平台取得成功。
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