Android Support Library
A toolkit for developing and deploying TensorFlow Lite models on mobile and IoT devices with cross-platform support.
What is Android Support Library?
TensorFlow Lite Support is a toolkit that helps developers deploy TensorFlow Lite machine learning models onto mobile and IoT devices. It provides libraries, tools, and utilities to simplify model integration, preprocessing, and inference, ensuring consistency across platforms. The toolkit addresses the challenges of deploying ML models in resource-constrained environments like smartphones and embedded devices.
Mobile and IoT developers working with TensorFlow Lite models, particularly those building applications for Android, iOS, or cross-platform environments who need efficient model deployment and inference pipelines.
Developers choose TFLite Support for its cross-platform compatibility, ready-to-use APIs for common ML tasks, and flexibility to customize inference pipelines. Its integration with TensorFlow modules ensures consistency from training to deployment, reducing development time and complexity.
Overview
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
Use Cases
Best For
- Deploying TensorFlow Lite models to Android applications
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