We bring AI to Android with the help of TensorFlow Lite. We then look at cross-platform development using ML Kit (which is built on top of TensorFlow Lite) and Fritz to explore the end-to-end development life cycle for building a self-improving AI app. Along the way we look at model versioning, A/B testing, measuring success, dynamic updates, model optimization, and other topics. Bonus: We get to hear about Pete Warden’s (technical lead for Mobile and Embedded TensorFlow) rich experience in bringing AI to edge devices. Read online here.

We will reuse the code from TensorFlow. Please clone the TensorFlow repository. As we will be making an Android app please download and install Android Studio from https://developer.android.com/studio.