n the last post we took a look into Hilt and how, at a high level, it can be used for Dependency Injection in Android projects. Now that we have seen how the API can be used, I want to start taking deeper dives into how things are working under the hood.
When I started working on Coil I thought domain-specific languages (DSLs) were a Kotlinesque replacement for builders. As a result, many of Coil’s public functions accept a trailing lambda for object construction
In this episode, Chet and Tor talk with Hoi Lam and Matej Pfajfar about machine learning on Android. Tune in to learn about ML Kit, TensorFlow Lite, transfer learning, federated learning, ML model binding, the Android Neural Networks API, and more!