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MLKit-munich.pdf

Sergii Khomenko
September 08, 2018
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 MLKit-munich.pdf

Sergii Khomenko

September 08, 2018
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Transcript

  1. Making your apps smart with MLKit From recognizing text to

    recognizing landmarks and all the way to deploying custom Tensorflow Lite Models Sergii Khomenko, @lc0d3r
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  14. Dependencies

  15. On-device text recognition

  16. On-device text recognition

  17. On-device text recognition

  18. Cloud text recognition

  19. Cloud text recognition

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  24. Key capabilities • TensorFlow Lite model hosting • On-device ML

    inference • Automatic model fallback • Automatic model updates
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  44. MLKit + Firebase • Easy model delivery • Let you

    focus on ML, not on mobile dev • “magic” features for free from Google
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  46. Links • https://codelabs.developers.google.com/codelabs/mlkit- android/index.html?index=..%2F..%2Fio2018#3 • https://firebase.google.com/docs/ml-kit/use-custom- models?authuser=0 • https://arxiv.org/abs/1503.02531