Upgrade to Pro — share decks privately, control downloads, hide ads and more …

MLKit-munich.pdf

Sergii Khomenko
September 08, 2018
0
34

 MLKit-munich.pdf

Sergii Khomenko

September 08, 2018
Tweet

More Decks by Sergii Khomenko

See All by Sergii Khomenko
Handle your Lambdas - From event-based processing to Continuous Integration / Munich AWS User Group - Mar 17, 2016
lc0
1
250
From Data Science to Production - deploy, scale, enjoy! / PyData Amsterdam - Mar 12, 2016
lc0
1
190
Building Data applications with Go: from Bloom filters to Data pipelines / FOSDEM - Jan 31, 2016
lc0
1
190
Building data pipelines: from simple to more advanced - hands-on experience / CrunchConf - Oct 29, 2015
lc0
0
99
Scaling up Business Intelligence from the scratch and to 15 countries worldwide / Budapest BI Forum - Oct 15, 2015
lc0
0
56
Secure Data Scalability at Stylight with Tableau Online and Amazon Redshift / Tableau Conference on Tour - Berlin - Jun 9, 2015
lc0
0
140
Helping Data Teams with Puppet / Puppet Camp London - Apr 13, 2015
lc0
0
210
Scaling your Tableau - Migrating from Tableau Online to a proper DWH solution / Munich Tableau User Group - Feb 26, 2015
lc0
0
63
Building Ranking Infrastructure: Data-Driven, Lean, Flexible - Sergii Khomenko, STYLIGHT / ApacheCon EU, Budapest 2014
lc0
0
56

Featured

See All Featured
Keith and Marios Guide to Fast Websites
keithpitt
409
22k
Measuring & Analyzing Core Web Vitals
bluesmoon
4
130
ピンチをチャンスに：未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
109
49k
Fashionably flexible responsive web design (full day workshop)
malarkey
405
65k
Rails Girls Zürich Keynote
gr2m
94
13k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
232
17k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
25
1.8k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
Embracing the Ebb and Flow
colly
84
4.5k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
250
21k
Build your cross-platform service in a week with App Engine
jlugia
229
18k
Building Your Own Lightsaber
phodgson
103
6.1k

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
  2. None
  3. None
  4. None
  5. None
  6. None
  7. None
  8. None
  9. None
  10. None
  11. None
  12. None
  13. None

  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

  20. None
  21. None
  22. None
  23. None

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

    inference • Automatic model fallback • Automatic model updates
  25. None
  26. None
  27. None
  28. None
  29. None
  30. None
  31. None
  32. None
  33. None
  34. None
  35. None
  36. None
  37. None
  38. None
  39. None
  40. None
  41. None
  42. None
  43. None

  44. MLKit + Firebase • Easy model delivery • Let you

    focus on ML, not on mobile dev • “magic” features for free from Google
  45. None

  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