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.
Read moreWhat is custom model in ML?
You can configure ML Kit to automatically download model updates when the user’s device is idle or charging, or has a Wi-Fi connection. Use the TensorFlow Lite model for inference. Use ML Kit’s custom model APIs in your iOS or Android app to perform inference with your Firebase-hosted or app-bundled model.
Read moreHow do you train a ML kit?
Follow these steps.
Read moreHow do you run a Tflite?
Running a TensorFlow Lite model involves a few simple steps:
Read moreCan you use TensorFlow in Flutter?
tflite 1.1. A Flutter plugin for accessing TensorFlow Lite. Supports both iOS and Android .
Read moreWhat is TensorFlow model maker?
Overview. The TensorFlow Lite Model Maker library simplifies the process of training a TensorFlow Lite model using custom dataset. It uses transfer learning to reduce the amount of training data required and shorten the training time.
Read moreCan you use TensorFlow in Flutter?
tflite 1.1. A Flutter plugin for accessing TensorFlow Lite. Supports both iOS and Android .
Read more