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Easy on-device ML from prototype to production (TF Dev Summit 20)

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TensorFlow Lite provides tools to apply ML on mobile and edge, and do it in scale. We’ll talk about TensorFlow Lite’s end to end toolkit to adopt state-of-the-art research models and deploy in your app. Speakers: Arun Venkatesan - Developer Advocate Lu Wang - Software Engineer Resources: TensorFlow Lite guide → TensorFlow Hub → Optimized models for common mobile and edge use cases → GitHub → TensorFlow Lite

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