TensorFlow Lite is a lightweight solution for on-device machine learning, designed to efficiently run ML models on mobile devices and embedded systems. It enables developers to deploy models with low latency and minimal power consumption.
Key Features ✅
- Optimized for Mobile: Runs ML models efficiently on Android, iOS, and other mobile platforms.
- Tiny Footprint: Small size (under 10MB) for easy integration into apps.
- Support for多种 Models: Compatible with TensorFlow models, including custom training and quantization.
- Cross-Platform: Works seamlessly with TensorFlow Lite for Android and iOS.
Use Cases 📱
- Mobile Applications: Deploy models for real-time features like image recognition or natural language processing.
- Edge Devices: Run AI tasks locally without relying on cloud connectivity.
- IoT Systems: Enable smart devices to process data independently.
Documentation & Resources 📁
For detailed guides and tutorials, visit our TensorFlow Lite Getting Started page.