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 Taichung can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Taichung, Global
3/F, No.179, Fuhuiyuan Blvd., Xitun Dist, Taichung City, taiwan
The Taichung Global business centre is located in the new Taichung City Government Center area. This area is the major busine...
The Taichung Global business centre is located in the new Taichung City Government Center area. This area is the major business hub of Taichung and includes the seat of Taichung City Government, many new hotels, restaurants and shopping malls such as Shin Kong Mitsukoshi Department Stores, Top City Department Stores and Warner Village Cinema. Quite a few grade A office buildings are located here, Global is the best among them.
The centre is well located. Only 1 minute walk to Taichung city hall and 5 minutes to upcoming MRT system. There are many amenities including restaurants, banks and retail facilities nearby. The Regus Taichung Global business centre offers a perfect solution for local and overseas companies who want to start or grow their businesses in Taichung, who are looking for flexible and fully-equipped offices with comprehensive services at a reasonable price.
This instructor-led, live training in Taichung (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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