Android + Machine Learning
summary
Luiz Gustavo Martins, Developer Advocate at Google, presents how to combine Android, machine learning, and Firebase. The talk covers using Firebase services together with on-device or cloud ML techniques to add intelligent features to Android apps.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 3:25App inspiration
- 7:42Computer vision and AI
- 13:39How machine learning works
- 18:15Using Google's ready models
- 23:13Collecting training data
- 27:45Review and approval
- 31:14On-device classification
- 34:00Performance monitoring
- 37:13Cloud vs local training
- 39:21Conclusion
related talks
36mMaking intelligent Android apps
36mMachine Learning for Mobile Developers
47mMyths and Reality of Android Machine Learning
39mMachine Learning on Android Demystified
58mWorking With Android Things: Machine Learning With TensorFlow
14mDo you want an easy way to add Machine Learning into your app?
30mMachine Learning in Android Apps with ML Kit
13mWhat's new in Android machine learning