TensorFlow Lite is a powerful tool for deploying machine learning models on mobile and embedded devices. Here's a quick guide to help you begin:
1. Installation & Setup 🛠️
- Install TensorFlow Lite via pip or Android SDK
- Set up your development environment with the necessary tools
- Verify installation by running a simple test model
2. Model Conversion 🔄
- Convert your TensorFlow model to TensorFlow Lite format using
tflite_convert - Optimize models for size and performance with quantization
- Explore conversion tools for advanced options
3. Deployment on Devices 📱
- Integrate TensorFlow Lite into your Android app via Android Studio
- Use TensorFlow Lite for embedded systems with C++ APIs
- Check performance benchmarks for different hardware
For deeper exploration, visit our TensorFlow Lite documentation to learn about advanced deployment techniques. 🚀