Course Code: fpgaopenvino
Duration: 35 hours
Prerequisites:
  • Python 程式設計經驗
  • 使用 pandas 和 scikit-learn 的經驗
  • 具有深度學習和計算機視覺經驗

觀眾

  • 數據科學家
Overview:

FPGA(現場可程式設計門陣列)是一種可用於加速深度學習計算的積體電路。OpenVINO 是一個開源工具包,用於優化 Intel 硬體上的 Deep Learning 模型。

這種由講師指導的現場培訓(在線或現場)面向希望加速即時機器學習應用程式並大規模部署的數據科學家。

在本次培訓結束時,參與者將能夠:

  • 安裝 OpenVINO 工具包。
  • 使用 FPGA 加速電腦視覺應用程式。
  • 在 FPGA 上執行不同的 CNN 層。
  • 在 Kubernetes 集群中的多個節點之間擴展應用程式。

課程形式

  • 互動講座和討論。
  • 大量的練習和練習。
  • 在即時實驗室環境中動手實施。

課程自定義選項

  • 要申請本課程的定製培訓,請聯繫我們進行安排。
Course Outline:

介紹

概述 加速 Computer Vision 應用程式所需的 Languages、工具和庫

設定OpenVINO

OpenVINO Toolkit 及其元件概述

瞭解 Deep Learning 加速 GPU 和 FPGA

編寫面向 FPGA 的軟體

轉換推理引擎的模型格式

將網路拓撲映射到 FPGA 架構

使用加速堆疊啟用 FPGA 集群

設置應用程式以發現 FPGA 加速器

部署用於真實世界圖像識別的應用程式

故障排除

總結和結論

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