TensorFlow for Mobile Developers

Transcript

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

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

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3. Machine Learning / AI
   

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4. Machine Learning / AI
   

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5. Machine Learning / AI
   

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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
   

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7. Buzzwords classification
   

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8. Neural Network
   

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9. Machine Learning
   

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10. Machine Learning
    

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11. Machine Learning
    12%
    of all
    responses
    on mobile
    

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12. Machine Learning
    

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13. Machine Learning
    

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14. Machine Learning
    

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

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

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

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18. TensorFlow
    CIFAR10
    

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19. TensorFlow ecosystem
    

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20. From Training to App (@yufengg)
    

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21. Data Gathering?
    

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22. From Training to App (@yufengg)
    

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23. From Training to App (@yufengg)
    

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24. Convolutional Neural Networks (@yufengg)
    

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25. Convolutional Neural Networks (@yufengg)
    

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26. Convolutional Neural Networks (@yufengg)
    

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27. Convolutional Neural Networks (@yufengg)
    

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28. Convolutional Neural Networks (@yufengg)
    

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29. Convolutional Neural Networks (@yufengg)
    

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30. Convolutional Neural Networks (@yufengg)
    

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31. Convolutional Neural Networks (@yufengg)
    

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32. From Training to App (@yufengg)
    

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33. Optimizing model for Mobile (@yufengg)
    

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

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

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36. From Training to App (@yufengg)
    

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37. From Training to App (@yufengg)
    

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

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39. TensorFlow community
    

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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
    

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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
    

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

    

    (recommend it with Android SDK Manager)
    

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43. Building with Android Studio
    WORKSPACE FILE
    

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

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

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

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47. Android Samples
    TF Classify
    

    TF Detect

    

    TF Stylize
    

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

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49. TF Classify
    

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50. TF Classify
    

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51. TF Detect
    

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

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53. TF Style
    

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

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55. TF Style
    

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56. TensorFlow
    Written in C++
    Android uses Kotlin/Java?

    

    HowTo?
    Android inference Library
    https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/android
    

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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)
    

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58. iOS Examples: simple
    

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59. iOS Examples: camera
    

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

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61. iOS Examples: benchmark
    

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62. Raspberry Pi
    

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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
    

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

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