Online or onsite, instructor-led live OpenVINO training courses demonstrate through interactive hands-on practice how to use OpenVINO toolkit for optimizing Deep Learning models on Intel hardware.
OpenVINO training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live OpenVINO trainings in Southampton can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Southampton
International House, Southampton International Business Park, Southampton, united kingdom, SO18 2RZ
This centre occupies a great position - highly visible from the M27 motorway. The building's focal point is a beautiful at...
This centre occupies a great position - highly visible from the M27 motorway. The building's focal point is a beautiful atrium flooding the reception area with natural light. A comfortable, professional business lounge and a large breakout area where you can relax or network add to the welcoming atmosphere. This is an outstanding south coast location next to Southampton airport with air, road and rail transport links on the doorstep. Regular launches and exhibitions held at the centre have contributed to its reputation as a hub of business and cultural activity. Southampton is an innovative and enterprising city with thousands of thriving organisations and tens of thousands of productive people. The most significant sectors in terms of businesses and employee numbers are distribution, tourism, banking and finance-related activities. It also has one of the top 10 research-led universities in the UK, which provides a wide range of services to the business community.
This instructor-led, live training in Southampton (online or onsite) is aimed at data scientists who wish to accelerate real-time machine learning applications and deploy them at scale.
By the end of this training, participants will be able to:
Install the OpenVINO toolkit.
Accelerate a computer vision application using an FPGA.
Execute different CNN layers on the FPGA.
Scale the application across multiple nodes in a Kubernetes cluster.
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