OpenVINO 교육

OpenVINO 교육

대한민국에서 현지 강사가 진행하는 OpenVINO 교육 과정.

회원 평가

★★★★★
★★★★★

OpenVINO코스 개요

Course Name
Duration
Overview
Course Name
Duration
Overview
35 시간
Overview
An FPGA (Field Programmable Gate Array) is an integrated circuit that can be used to accelerate deep learning computations. OpenVINO is an open source toolkit for optimizing Deep Learning models on Intel hardware.

This instructor-led, live training (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.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
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코스 프로모션

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