Yury Gorbachev, Principal Engineer at Intel, presents the "How to Get the Best Deep Learning Performance with the OpenVINO Toolkit" tutorial at the May 2019 Embedded Vision Summit.

Tremendous recent progress in deep learning and computer vision algorithms has made it possible to create innovative applications that were not previously feasible. However, moving from academic research to real-world algorithm deployment is still complicated due to the amount of native programming and low-level knowledge that is required to unleash the full performance of processing platforms.

This talk demonstrates how the Intel OpenVINO toolkit makes it easy to move deep learning algorithms from research to deployment. Gorbachev walks through the most important toolkit features that allow you to create lightweight applications and reach maximum performance on various processing platforms, including traditional CPUs as well as accelerators such as VPUs, GPUs and FPGAs.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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