Simplified Machine Learning on mobile, browsers, and edge devices with on-device ML

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Explore solutions from Google to train and run machine learning models on phones, mobile devices, browsers, and edge devices. Join us as we discuss turnkey API-based solutions for text recognition, NLP, pose detection, translation support, and more. We'll also examine new, improved features of TensorFlow Lite (TFLite) and walk through a demo.

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Speakers: Yu-Cheng Ling (Software Engineer), Arun Venkatesan (Product Manager)

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product: TensorFlow - General; event: ML Community Day 2021; fullname: Yu-Cheng Ling; re_ty: Publish;
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Can i train small speech recognition model directly on microcontroller to recognize 8 words?

jomfawad
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Hi. I have already followed the documentation for on device training. But l could not run it. I have import the model.tflite in Android Studio and it gives error couldn't read underlying model for transferlearningmodel?

hanimsofia
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Hey, I've been contributing to your repository. Hire me!

anirudhsilverking