4 Ways to Use Machine Learning for Mobile
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Machine Learning at the edge is about making your apps smarter with real-time object and face recognition, offline predictions, and protecting user privacy. In this session, we'll explore the four ways to handle prediction or inference and decision making in modern apps. Demystify deep learning and easily call managed ML services, build, train, and/or deploy ML models to mobile and IoT devices.
Machine Learning at the edge is about making your apps smarter with real-time object and face recognition, offline predictions, and protecting user privacy. In this session, we'll explore the four ways to handle prediction or inference and decision making in modern apps. Demystify deep learning and easily call managed ML services, build, train, and/or deploy ML models to mobile and IoT devices.
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