Welcome to the TensorFlow Lite tutorials! Here, you'll find guides to help you get started with on-device machine learning using TensorFlow Lite. Whether you're a beginner or an experienced developer, these resources will walk you through the essentials.

Getting Started 🚀

  1. Install TensorFlow Lite
    Begin by installing the TensorFlow Lite library on your device. Learn more about installation.

  2. Model Conversion
    Convert your TensorFlow models to TensorFlow Lite format using the TFLite Converter.

    TensorFlow_Lite_Conversion
  3. Run Your First Model
    Explore how to run a pre-trained model on a mobile or embedded device.

    mobile_ml_demo

Advanced Topics 🔧

  • Training Models on Device
    Dive into training models directly on the device with TensorFlow Lite's training tools.

    on_device_learning
  • Optimization Techniques
    Optimize model performance using quantization and pruning.

    model_optimization

Resources 📚

For hands-on practice, try the TensorFlow Lite quickstart guide to build your first ML model! 📈