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Accelerating Deep Learning with FPGA and OpenVINO

 35 Hours
This instructor-led, live training in Hong Kong (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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Provisional Upcoming Courses (Require 5+ participants)

Accelerating Deep Learning with FPGA and OpenVINO

2025-07-07 09:30
35 hours
Glenealy Tower
HK$ 90100 (Online)
HK$ 176350 (Classroom)

Accelerating Deep Learning with FPGA and OpenVINO

2025-07-21 09:30
35 hours
Glenealy Tower
HK$ 90100 (Online)
HK$ 176350 (Classroom)

Accelerating Deep Learning with FPGA and OpenVINO

2025-08-04 09:30
35 hours
Glenealy Tower
HK$ 90100 (Online)
HK$ 176350 (Classroom)

Accelerating Deep Learning with FPGA and OpenVINO

2025-08-18 09:30
35 hours
Glenealy Tower
HK$ 90100 (Online)
HK$ 176350 (Classroom)

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OpenVINO Consulting
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