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TensorFlow for Mobile Developers
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Enrique López Mañas
October 25, 2017
Technology
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TensorFlow for Mobile Developers
Enrique López Mañas
October 25, 2017
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Transcript
TensorFlow for Mobile Developers
Machine Learning / AI
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
Buzzwords classification
Neural Network
Machine Learning
Machine Learning
Machine Learning 12% of all responses on mobile
Machine Learning
Machine Learning
Machine Learning
Cloud vs. Mobile Less Traffic & Faster Response Motion Sensors
TensorFlow OpenSource library for Machine Learning tensorflow.org Today most popular
ML framework
TensorFlow You can train: - Mac / Windows - GPU
Server - GPU/TPU on Cloud Prediction: - Android - iOS - Raspberry
TensorFlow CIFAR10
TensorFlow ecosystem
From Training to App (@yufengg)
Data Gathering?
From Training to App (@yufengg)
From Training to App (@yufengg)
Convolutional Neural Networks (@yufengg)
Convolutional Neural Networks (@yufengg)
Convolutional Neural Networks (@yufengg)
Convolutional Neural Networks (@yufengg)
Convolutional Neural Networks (@yufengg)
Convolutional Neural Networks (@yufengg)
Convolutional Neural Networks (@yufengg)
Convolutional Neural Networks (@yufengg)
From Training to App (@yufengg)
Optimizing model for Mobile (@yufengg)
From Training to App (@yufengg) Other inception versions (inception v1
quantised is 7 MB)
From Training to App (@yufengg) TensorFlow increases APK in 12
MB
From Training to App (@yufengg)
From Training to App (@yufengg)
TensorFlow community 1000+ contributors 22.000+ commits 18.000+ repositories with name
“TensorFlow”
TensorFlow community
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
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
Building with Android Studio Download Android SDK (23) Download Android
NDK (12b) (recommend it with Android SDK Manager)
Building with Android Studio WORKSPACE FILE
Building with Android Studio Run Bazel bazel build -c opt
//tensorflow/examples/ android:tensorflow_demo
Building with Android Studio Install APK adb install -r bazel-bin/tensorflow/examples/android/
tensorflow_demo.apk
Building with Android Studio OR… TensorFlow AAR from JCenter YUV
-> RGB less efficient Object tracking not available
Android Samples TF Classify TF Detect TF Stylize
TF Classify Uses Google Inception (v3) to label images Model
easy to swap No “person label” Volume button up for statistics
TF Classify
TF Classify
TF Detect
TF Detect - Draw bounding boxes around people - Useful
to count objects - No training yet
TF Style
TF Style - Real time style transfer algorithm - Pick/mix
different styles - Can train Magenta models
TF Style
TensorFlow Written in C++ Android uses Kotlin/Java? HowTo? Android
inference Library https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/android
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)
iOS Examples: simple
iOS Examples: camera
iOS Examples: camera - Run inception each frame - Models
can be replaced
iOS Examples: benchmark
Raspberry Pi
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