This self-paced workshop teaches an end-to-end computer vision workflow using the latest Intel® technologies and the Intel® Distribution of OpenVINO™ toolkit.
Learn how to:
Use deep learning algorithms that help accelerate smart video applications
Optimize and improve performance with and without external accelerators
Use tools to help you identify the best hardware configuration for your needs
Apply frameworks and topologies supported by the Intel® accelerator tool
Intel teamed up with Philips to show that servers powered by Intel® Xeon®
Scalable processors could be used to efficiently perform deep learning inference
on patients’ X-rays and computed tomography (CT) scans, without the need for
accelerators. The ultimate goal for Philips is to offer artificial intelligence (AI) to its
end customers without significantly increasing the cost of the customers’ systems
and without requiring modifications to the hardware deployed in the field.