Enrique López Mañas. Google Developer Expert (GDE), Germany.

1. TensorFlow for
Mobile Developers
Enrique López Mañas
Google Developer Expert

2. Ego Slide
• Freelance Dev
• Google Developer Expert
• @eenriquelopez

3. Machine Learning / AI

4. Machine Learning / AI

5. Machine Learning / AI

6. Buzzwords classification
Artificial intelligence
Machine Learning
The science of making machines smarts
Building machines that can learn
Neural Networks
One of the many different algorithms in Machine Learning

7. Buzzwords classification

8. Neural Network

9. Machine Learning

10. Machine Learning

11. Machine Learning
12%
of all
responses
on mobile

12. Machine Learning

13. Machine Learning

14. Machine Learning

15. Cloud vs. Mobile
Less Traffic & Faster Response
Motion Sensors

16. TensorFlow
OpenSource library for Machine Learning
tensorflow.org
Today most popular ML framework

17. TensorFlow
You can train:
- Mac / Windows
- GPU Server
- GPU/TPU on Cloud
Prediction:
- Android
- iOS
- Raspberry

18. TensorFlow
CIFAR10

19. TensorFlow ecosystem

20. From Training to App (@yufengg)

21. Data Gathering?

22. From Training to App (@yufengg)

23. From Training to App (@yufengg)

24. Convolutional Neural Networks (@yufengg)

25. Convolutional Neural Networks (@yufengg)

26. Convolutional Neural Networks (@yufengg)

27. Convolutional Neural Networks (@yufengg)

28. Convolutional Neural Networks (@yufengg)

29. Convolutional Neural Networks (@yufengg)

30. Convolutional Neural Networks (@yufengg)

31. Convolutional Neural Networks (@yufengg)

32. From Training to App (@yufengg)

33. Optimizing model for Mobile (@yufengg)

34. From Training to App (@yufengg)
Other inception versions
(inception v1 quantised is 7 MB)

35. From Training to App (@yufengg)
TensorFlow increases APK in 12 MB

36. From Training to App (@yufengg)

37. From Training to App (@yufengg)

38. TensorFlow community
1000+ contributors
22.000+ commits
18.000+ repositories with name “TensorFlow”

39. TensorFlow community

40. Building with Android Studio
Uses Bazel to build
Set Bazel binary location in /tensorflow/examples/
android/build.gradle
Add project in tensorflor/examples/android folder
to Android Studio

41. Building with Android Studio
Installing Bazel first:
Download from https://github.com/bazelbuild/bazel/releases
Install instructions in https://docs.bazel.build/versions/master/install.html

42. Building with Android Studio
Download Android SDK (23)
Download Android NDK (12b)
(recommend it with Android SDK Manager)

43. Building with Android Studio
WORKSPACE FILE

44. Building with Android Studio
Run Bazel
bazel build -c opt //tensorflow/examples/
android:tensorflow_demo

45. Building with Android Studio
Install APK
adb install -r bazel-bin/tensorflow/examples/android/
tensorflow_demo.apk

46. Building with Android Studio
OR…
TensorFlow AAR from JCenter
YUV -> RGB less efficient
Object tracking not available

47. Android Samples
TF Classify
TF Detect
TF Stylize

48. TF Classify
Uses Google Inception (v3) to label images
Model easy to swap
No “person label”
Volume button up for statistics

49. TF Classify

50. TF Classify

51. TF Detect

52. TF Detect
- Draw bounding boxes around people
- Useful to count objects
- No training yet

53. TF Style

54. TF Style
- Real time style transfer algorithm
- Pick/mix different styles
- Can train Magenta models

55. TF Style

56. TensorFlow
Written in C++
Android uses Kotlin/Java?
HowTo?
Android inference Library
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/android

57. Building for iOS
Install requirements:
- Xcode 8
- Command line tools (xcode-select install)
- brew install automake
- brew install lib tool
- tensorflow/contrib/makefile_build_all_ios.sh (takes 20 minutes)

58. iOS Examples: simple

59. iOS Examples: camera

60. iOS Examples: camera
- Run inception each frame
- Models can be replaced

61. iOS Examples: benchmark

62. Raspberry Pi

63. Resources
TensorFlow: https://www.tensorflow.org/
Magenta: https://magenta.tensorflow.org/welcome-to-magenta
TensorFlow for Poets: https://codelabs.developers.google.com/codelabs/
tensorflow-for-poets/index.html#0

64. Feedback
http://bit.ly/Mobius2017