Course Code: fpgaopenvino
Duration: 35 hours
Prerequisites:
  • Python 程式设计经验
  • 使用 pandas 和 scikit-learn 的经验
  • 具有深度学习和计算机视觉经验

观众

  • 数据科学家
Overview:

FPGA(现场可程式设计门阵列)是一种可用于加速深度学习计算的积体电路。OpenVINO 是一个开源工具包,用于优化 Intel 硬体上的 Deep Learning 模型。

这种由讲师指导的现场培训(在线或现场)面向希望加速即时机器学习应用程式并大规模部署的数据科学家。

在本次培训结束时,参与者将能够:

  • 安装 OpenVINO 工具包。
  • 使用 FPGA 加速电脑视觉应用程式。
  • 在 FPGA 上执行不同的 CNN 层。
  • 在 Kubernetes 集群中的多个节点之间扩展应用程式。

课程形式

  • 互动讲座和讨论。
  • 大量的练习和练习。
  • 在即时实验室环境中动手实施。

课程自定义选项

  • 要申请本课程的定制培训,请联系我们进行安排。
Course Outline:

介绍

概述 加速 Computer Vision 应用程式所需的 Languages、工具和库

设定OpenVINO

OpenVINO Toolkit 及其元件概述

了解 Deep Learning 加速 GPU 和 FPGA

编写面向 FPGA 的软体

转换推理引擎的模型格式

将网路拓扑映射到 FPGA 架构

使用加速堆叠启用 FPGA 集群

设置应用程式以发现 FPGA 加速器

部署用于真实世界图像识别的应用程式

故障排除

总结和结论

Sites Published:

United Arab Emirates - Accelerating Deep Learning with FPGA and OpenVINO

Qatar - Accelerating Deep Learning with FPGA and OpenVINO

Egypt - Accelerating Deep Learning with FPGA and OpenVINO

Saudi Arabia - Accelerating Deep Learning with FPGA and OpenVINO

South Africa - Accelerating Deep Learning with FPGA and OpenVINO

Brasil - Accelerating Deep Learning with FPGA and OpenVINO

Canada - Accelerating Deep Learning with FPGA and OpenVINO

中国 - Accelerating Deep Learning with FPGA and OpenVINO

香港 - Accelerating Deep Learning with FPGA and OpenVINO

澳門 - Accelerating Deep Learning with FPGA and OpenVINO

台灣 - Accelerating Deep Learning with FPGA and OpenVINO

USA - Accelerating Deep Learning with FPGA and OpenVINO

Österreich - Accelerating Deep Learning with FPGA and OpenVINO

Schweiz - Accelerating Deep Learning with FPGA and OpenVINO

Deutschland - Accelerating Deep Learning with FPGA and OpenVINO

Czech Republic - Accelerating Deep Learning with FPGA and OpenVINO

Denmark - Accelerating Deep Learning with FPGA and OpenVINO

Estonia - Accelerating Deep Learning with FPGA and OpenVINO

Finland - Accelerating Deep Learning with FPGA and OpenVINO

Greece - Accelerating Deep Learning with FPGA and OpenVINO

Magyarország - Accelerating Deep Learning with FPGA and OpenVINO

Ireland - Accelerating Deep Learning with FPGA and OpenVINO

Luxembourg - Accelerating Deep Learning with FPGA and OpenVINO

Latvia - Accelerating Deep Learning with FPGA and OpenVINO

España - Accelerating Deep Learning with FPGA and OpenVINO

Italia - Accelerating Deep Learning with FPGA and OpenVINO

Lithuania - Accelerating Deep Learning with FPGA and OpenVINO

Nederland - Accelerating Deep Learning with FPGA and OpenVINO

Norway - Accelerating Deep Learning with FPGA and OpenVINO

Portugal - Accelerating Deep Learning with FPGA and OpenVINO

România - Accelerating Deep Learning with FPGA and OpenVINO

Sverige - Accelerating Deep Learning with FPGA and OpenVINO

Türkiye - Accelerating Deep Learning with FPGA and OpenVINO

Malta - Accelerating Deep Learning with FPGA and OpenVINO

Belgique - Accelerating Deep Learning with FPGA and OpenVINO

France - Accelerating Deep Learning with FPGA and OpenVINO

日本 - Accelerating Deep Learning with FPGA and OpenVINO

Australia - Accelerating Deep Learning with FPGA and OpenVINO

Malaysia - Accelerating Deep Learning with FPGA and OpenVINO

New Zealand - Accelerating Deep Learning with FPGA and OpenVINO

Philippines - Accelerating Deep Learning with FPGA and OpenVINO

Singapore - Accelerating Deep Learning with FPGA and OpenVINO

Thailand - Accelerating Deep Learning with FPGA and OpenVINO

Vietnam - Accelerating Deep Learning with FPGA and OpenVINO

India - Accelerating Deep Learning with FPGA and OpenVINO

Argentina - Accelerating Deep Learning with FPGA and OpenVINO

Chile - Accelerating Deep Learning with FPGA and OpenVINO

Costa Rica - Accelerating Deep Learning with FPGA and OpenVINO

Ecuador - Accelerating Deep Learning with FPGA and OpenVINO

Guatemala - Accelerating Deep Learning with FPGA and OpenVINO

Colombia - Accelerating Deep Learning with FPGA and OpenVINO

México - Accelerating Deep Learning with FPGA and OpenVINO

Panama - Accelerating Deep Learning with FPGA and OpenVINO

Peru - Accelerating Deep Learning with FPGA and OpenVINO

Uruguay - Accelerating Deep Learning with FPGA and OpenVINO

Venezuela - Accelerating Deep Learning with FPGA and OpenVINO

Polska - Accelerating Deep Learning with FPGA and OpenVINO

United Kingdom - Accelerating Deep Learning with FPGA and OpenVINO

South Korea - Accelerating Deep Learning with FPGA and OpenVINO

Pakistan - Accelerating Deep Learning with FPGA and OpenVINO

Sri Lanka - Accelerating Deep Learning with FPGA and OpenVINO

Bulgaria - Accelerating Deep Learning with FPGA and OpenVINO

Bolivia - Accelerating Deep Learning with FPGA and OpenVINO

Indonesia - Accelerating Deep Learning with FPGA and OpenVINO

Kazakhstan - Accelerating Deep Learning with FPGA and OpenVINO

Moldova - Accelerating Deep Learning with FPGA and OpenVINO

Morocco - Accelerating Deep Learning with FPGA and OpenVINO

Tunisia - Accelerating Deep Learning with FPGA and OpenVINO

Kuwait - Accelerating Deep Learning with FPGA and OpenVINO

Oman - Accelerating Deep Learning with FPGA and OpenVINO

Slovakia - Accelerating Deep Learning with FPGA and OpenVINO

Kenya - Accelerating Deep Learning with FPGA and OpenVINO

Nigeria - Accelerating Deep Learning with FPGA and OpenVINO

Botswana - Accelerating Deep Learning with FPGA and OpenVINO

Slovenia - Accelerating Deep Learning with FPGA and OpenVINO

Croatia - Accelerating Deep Learning with FPGA and OpenVINO

Serbia - Accelerating Deep Learning with FPGA and OpenVINO

Bhutan - Accelerating Deep Learning with FPGA and OpenVINO

Nepal - Accelerating Deep Learning with FPGA and OpenVINO

Uzbekistan - Accelerating Deep Learning with FPGA and OpenVINO