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課程簡介
介紹
概述加速電腦視覺應用程式所需的 Languages、工具和庫
設定 OpenVINO
OpenVINO 工具組件概述
瞭解深度學習加速 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 架構上
使用加速堆疊啟用FPGA集群
設置應用程式以發現 FPGA 加速器
部署應用程式以進行真實世界的圖像識別
故障排除
總結和結論
最低要求
- 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的經驗
觀眾
- 數據科學家
35 時間:
客戶評論 (5)
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
Very flexible
Frank Ueltzhöffer
Course - Artificial Neural Networks, Machine Learning and Deep Thinking
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to Deep Learning
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Course - Advanced Deep Learning
examples based on our data