This course is designed for application developers who wants to deploy computer vision inference workloads using the Intel® Distribution of OpenVINOTM toolkit. The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices.
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Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
英特尔课程信息
您将学到的内容有
How to use the Model Optimizer to convert models from popular machine learning frameworks.
How to run benchmarks and do device comparison and validation.
How to use the Inference Engine to deploy to multiple types of devices.
How to use the Inference Engine’s asynchronous inference to handle various deployment situations.
您将获得的技能
- Deep Learning
- Machine Learning
- Application development
- Python* Programming
- Computer Vision
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英特尔
The Intel® Developer Zone offers tools and how-to information to enable cross-platform app development through platform and technology information, code samples, and peer expertise in order to help developers innovate and succeed. Join communities for the Internet of Things, Artificial Intelligence, Virtual Reality, Persistent Memory & Game Dev to download tools, access dev kits, share ideas with like-minded developers, and participate in hackathons, contests, roadshows, and local events.
授课大纲 - 您将从这门课程中学到什么
Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
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