What is custom model in ML?

Deploy and manage models in the Firebase console

Deploy and manage models in the Firebase console

Get started with AI ML Kit brings Google’s machine learning expertise to mobile developers in a powerful yet easy-to-use package through Firebase .

Get started with AI ML Kit brings Google’s machine learning expertise to mobile developers in a powerful yet easy-to-use package through Firebase .

ML Kit can use TensorFlow Lite models hosted remotely using Firebase, bundled with the app binary, or both . By hosting a model on Firebase, you can update the model without releasing a new app version, and you can use Remote Config and A/B Testing to dynamically serve different models to different sets of users.

Custom models can be used to store sets of data in an object that is not implemented in your data model . You can use it for organizing transmitted data or for organizing variables that are used in your application. Custom models can be used in endpoints and actions as a source of input and output data.

ML Kit is a mobile SDK that brings Google’s machine learning expertise to Android and iOS apps in a powerful yet easy-to-use package . Whether you’re new or experienced in machine learning, you can implement the functionality you need in just a few lines of code.