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コース概要
Introduction
Overview the Languages, Tools, and Libraries Needed for Accelerating a Computer Vision Application
Setting up OpenVINO
Overview of OpenVINO Toolkit and its Components
Understanding Deep Learning Acceleration GPU and FPGA
Writing Software That Targets FPGA
Converting a Model Format for an Inference Engine
Mapping Network Topologies onto FPGA Architecture
Using an Acceleration Stack to Enable an FPGA Cluster
Setting up an Application to Discover an FPGA Accelerator
Deploying the Application for Real World Image Recognition
Troubleshooting
Summary and Conclusion
要求
- Python programming experience
- Experience with pandas and scikit-learn
- Experience with deep learning and computer vision
Audience
- Data scientists
35 時間
