AI on the Edge with Eclipse Kura - From Data Collection to Model Deployment
Eclipse Foundation via YouTube
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Learn to build and deploy machine learning applications for edge computing in this 34-minute conference talk from EclipseCon 2022. Follow along as Eurotech experts Pierantonio Merlino and Mattia Dal Ben demonstrate the complete lifecycle of creating a deep learning anomaly detector using the Eclipse Kura ecosystem. Master data collection techniques using Kura Wires to gather diagnostic information and upload it to Eclipse Kapua cloud. Discover how to download collected data from Eclipse Kapua and develop models using popular ML libraries like Tensorflow/Keras. Explore the process of exporting trained models to run on Nvidia Tritonâ„¢ Server and deploying them to edge devices through Eclipse Kura's intuitive Wires interface and inference engine service. Get insights into exciting new Edge AI features including AI Model Encryption and expanded Inference Servers support.
Syllabus
How to Train Your Dragon and Its Friends: AI on the Edge with Eclipse Kura
Taught by
Eclipse Foundation