~/talk

What’s new in Android machine learning

Talkat Google I/O 2019 · 2019-05-07..05-09· [android, machine-learning]
links:none on file
name:Hoi Lam
github:hoitab
name:Dong Chen
links:none on file
slides:none on file

Android announces concrete on-device ML pieces: Android runs on 2.5 billion devices and exposes the Neural Networks API for GPU/DSP/NPU acceleration; measured wins include 9x faster Face Detection on a MediaTek Helio P90 and 4x energy savings on Snapdragon 855 for OCR. New APIs: Speech Recognizer (implemented via a seven-step listener flow), CameraX four-step flow for image analysis, ML Kit growth at 60% month-to-month with face detection 18x faster and 13–24% more accurate, AutoML Vision Edge to export custom TF Lite models, and a demo of a TF Lite 620-byte model successfully running Celsius→Fahrenheit inference on-device.

AI-written summary · about

  1. 0:00Introduction
  2. 1:15What is machine learning
  3. 4:55Great Up School
  4. 6:15On Device
  5. 8:19Machine Learning Tools
  6. 9:49Most Common Questions
  7. 12:53Android Platform
  8. 13:17TexttoSpeech
  9. 14:47Where is this API
  10. 16:05Implementation
  11. 18:20Camera API
  12. 21:57Additional sessions
  13. 22:29Dawn Chen
  14. 22:55MLK
  15. 23:46MLKid
  16. 25:30Object Detection
  17. 26:10Mobile Translate
  18. 26:46Image Labelling
  19. 27:34Automail
  20. 28:04Market Automail
  21. 28:20Image labeling
  22. 28:52Mobile app classification
  23. 29:10Model training
  24. 29:50Flower classifier
  25. 31:30New mature design guidelines
  26. 34:26Neural Network
  27. 34:45Simple Neural Network
  28. 36:57Model Size
  29. 39:03Example
  30. 41:13Outro
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