Link
Embed
Share
Beginning
This slide
Copy link URL
Copy link URL
Copy iframe embed code
Copy iframe embed code
Copy javascript embed code
Copy javascript embed code
Share
Tweet
Share
Tweet
Slide 1
Slide 1 text
TENSORFLOW FOR ANDROID DEVELOPERS JOE BIRCH - @HITHEREJOE - ANDROID LEAD @BUFFER - GDE @ANDROID
Slide 2
Slide 2 text
MACHINE LEARNING 101 Get data Clean, prep & manipulate data Train Model Test data Improve
Slide 3
Slide 3 text
MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression
Slide 4
Slide 4 text
MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression
Slide 5
Slide 5 text
MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression
Slide 6
Slide 6 text
MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression
Slide 7
Slide 7 text
MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression
Slide 8
Slide 8 text
MACHINE LEARNING 101 Unsupervised Learning Supervised Learning Clustering Classification Regression
Slide 9
Slide 9 text
MACHINE LEARNING AND MOBILE
Slide 10
Slide 10 text
MACHINE LEARNING AND MOBILE
Slide 11
Slide 11 text
TENSORFLOW
Slide 12
Slide 12 text
TENSORFLOW
Slide 13
Slide 13 text
COMPUTATION GRAPHS C D F A B E
Slide 14
Slide 14 text
NEURAL NETWORKS Some Image Result
Slide 15
Slide 15 text
NEURAL NETWORKS Some Image Result
Slide 16
Slide 16 text
NEURAL NETWORKS Some Image Result
Slide 17
Slide 17 text
NEURAL NETWORKS Some Image Result Pre-trained model
Slide 18
Slide 18 text
BUILDING OUR OWN IMAGE CLASSIFIER USING A MOBILE NET
Slide 19
Slide 19 text
TENSORBOARD
Slide 20
Slide 20 text
TENSORBOARD
Slide 21
Slide 21 text
TENSORBOARD tensorboard --logdir tf_files/training_summaries &
Slide 22
Slide 22 text
TRAINING DATA
Slide 23
Slide 23 text
RETRAINING THE MODEL
Slide 24
Slide 24 text
RETRAINING THE MODEL
Slide 25
Slide 25 text
RETRAINING THE MODEL
Slide 26
Slide 26 text
RETRAINING THE MODEL
Slide 27
Slide 27 text
RETRAINING THE MODEL
Slide 28
Slide 28 text
RETRAINING THE MODEL
Slide 29
Slide 29 text
RETRAINING THE MODEL
Slide 30
Slide 30 text
RETRAINING THE MODEL
Slide 31
Slide 31 text
RETRAINING THE MODEL
Slide 32
Slide 32 text
RETRAINING THE MODEL
Slide 33
Slide 33 text
RETRAINING THE MODEL
Slide 34
Slide 34 text
HOW TRAINING WORKS?
Slide 35
Slide 35 text
HOW TRAINING WORKS?
Slide 36
Slide 36 text
HOW TRAINING WORKS?
Slide 37
Slide 37 text
HOW TRAINING WORKS?
Slide 38
Slide 38 text
HOW TRAINING WORKS?
Slide 39
Slide 39 text
HOW TRAINING WORKS?
Slide 40
Slide 40 text
MODEL ACCURACY
Slide 41
Slide 41 text
MODEL ACCURACY
Slide 42
Slide 42 text
OPTIMISING THE MODEL Model Operation Model Operation Model Operation Model Operation Load graph Don’t load graph Operation supported?
Slide 43
Slide 43 text
OPTIMISING THE MODEL
Slide 44
Slide 44 text
OPTIMISING THE MODEL
Slide 45
Slide 45 text
OPTIMISING THE MODEL
Slide 46
Slide 46 text
OPTIMISING THE MODEL
Slide 47
Slide 47 text
OPTIMISING THE MODEL
Slide 48
Slide 48 text
QUANTISATION
Slide 49
Slide 49 text
QUANTISATION
Slide 50
Slide 50 text
QUANTISATION
Slide 51
Slide 51 text
QUANTISATION
Slide 52
Slide 52 text
OPTIMISING THE MODEL
Slide 53
Slide 53 text
ADDING THIS TO AN APP Add Dependancy Create TF Reference Feed data Run inference Fetch result Handle confidence
Slide 54
Slide 54 text
ADDING THIS TO AN APP
Slide 55
Slide 55 text
ADDING THIS TO AN APP // convert to 3d array (width / height / color)
Slide 56
Slide 56 text
ADDING THIS TO AN APP
Slide 57
Slide 57 text
ADDING THIS TO AN APP
Slide 58
Slide 58 text
ADDING THIS TO AN APP Shape of our input
Slide 59
Slide 59 text
ADDING THIS TO AN APP
Slide 60
Slide 60 text
ADDING THIS TO AN APP
Slide 61
Slide 61 text
ADDING THIS TO AN APP
Slide 62
Slide 62 text
ADDING THIS TO AN APP https://github.com/tensorflow/tensorflow
Slide 63
Slide 63 text
CONCLUSION