Tensorflow for Android Developers

Transcript

1. TENSORFLOW FOR ANDROID DEVELOPERS JOE BIRCH - @HITHEREJOE - ANDROID

   LEAD @BUFFER - GDE @ANDROID

2. MACHINE LEARNING 101 Get data Clean, prep & manipulate data

   Train Model Test data Improve

3. MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression

4. MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression

5. MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression

6. MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression

7. MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression

8. MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression

9. MACHINE LEARNING AND MOBILE

10. MACHINE LEARNING AND MOBILE

11. TENSORFLOW

12. TENSORFLOW

13. COMPUTATION GRAPHS C D F A B E

14. NEURAL NETWORKS Some Image Result

15. NEURAL NETWORKS Some Image Result

16. NEURAL NETWORKS Some Image Result

17. NEURAL NETWORKS Some Image Result Pre-trained model

18. BUILDING OUR OWN IMAGE CLASSIFIER USING A MOBILE NET

19. TENSORBOARD

20. TENSORBOARD

21. TENSORBOARD tensorboard --logdir tf_files/training_summaries &

22. TRAINING DATA

23. RETRAINING THE MODEL

24. RETRAINING THE MODEL

25. RETRAINING THE MODEL

26. RETRAINING THE MODEL

27. RETRAINING THE MODEL

28. RETRAINING THE MODEL

29. RETRAINING THE MODEL

30. RETRAINING THE MODEL

31. RETRAINING THE MODEL

32. RETRAINING THE MODEL

33. RETRAINING THE MODEL

34. HOW TRAINING WORKS?

35. HOW TRAINING WORKS?

36. HOW TRAINING WORKS?

37. HOW TRAINING WORKS?

38. HOW TRAINING WORKS?

39. HOW TRAINING WORKS?

40. MODEL ACCURACY

41. MODEL ACCURACY

42. OPTIMISING THE MODEL Model Operation Model Operation Model Operation Model

    Operation Load graph Don’t load graph Operation supported?

43. OPTIMISING THE MODEL

44. OPTIMISING THE MODEL

45. OPTIMISING THE MODEL

46. OPTIMISING THE MODEL

47. OPTIMISING THE MODEL

48. QUANTISATION

49. QUANTISATION

50. QUANTISATION

51. QUANTISATION

52. OPTIMISING THE MODEL

53. ADDING THIS TO AN APP Add Dependancy Create TF Reference

    Feed data Run inference Fetch result Handle confidence

54. ADDING THIS TO AN APP

55. ADDING THIS TO AN APP // convert to 3d array

    (width / height / color)

56. ADDING THIS TO AN APP

57. ADDING THIS TO AN APP

58. ADDING THIS TO AN APP Shape of our input

59. ADDING THIS TO AN APP

60. ADDING THIS TO AN APP

61. ADDING THIS TO AN APP

62. ADDING THIS TO AN APP https://github.com/tensorflow/tensorflow

63. CONCLUSION