h5 file directly in Flutter. You will need to either convert it into a . tflite file and use that or create a REST API.4 Mar 2021
Read moreWhat is the use of TFLite?
The TFLite Task Library makes it easy to integrate mobile-optimized machine learning models into a mobile app . It supports many popular machine learning use cases, including object detection, image classification, and text classification. You can load the TFLite model and run it with just a few lines of code.
Read moreWhat platforms does TensorFlow Lite support?
TensorFlow Lite inference
Read moreWhat can TensorFlow be used for?
TensorFlow provides a collection of workflows to develop and train models using Python or JavaScript, and to easily deploy in the cloud, on-prem, in the browser, or on-device no matter what language you use. The tf. data API enables you to build complex input pipelines from simple, reusable pieces.
Read moreCan TensorFlow run on Android?
TensorFlow is a multipurpose machine learning framework. TensorFlow can be used anywhere from training huge models across clusters in the cloud, to running models locally on an embedded system like your phone. This codelab uses TensorFlow Lite to run an image recognition model on an Android device .
Read moreHow do I use TensorFlow Lite on Android?
Use Android Studio ML Model Binding
Read moreWhat is TensorFlow Lite in Android?
TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices . It lets you run machine-learned models on mobile devices with low latency, so you can take advantage of them to do classification, regression or anything else you might want without necessarily incurring a round trip to a server.
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