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