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Explore the various options for implementing machine learning on mobile apps and edge devices in this 39-minute Google I/O'19 conference talk. Gain clarity on how to leverage TensorFlow for model training and deployment across different devices using TensorFlow Lite. Learn about the process of building and saving models, and see practical demonstrations including a Kotlin demo. Discover how to enhance your mobile applications with machine learning capabilities, demystifying the available choices and providing insights into MLKit and TensorFlow Lite Runtime. Follow along with speakers Laurence Moroney and Daniel Situnayake as they guide you through the journey from getting started to putting machine learning into action on your devices.
