OpenVINOのトレーニングコース

OpenVINOのトレーニングコース

日本ライブOpenVINOトレーニングコース。

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★★★★★
★★★★★

OpenVINOコース概要

コース名
期間
概要
コース名
期間
概要
35 時間
概要
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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コースプロモーション

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