TensorFlow Lite Converter API Overview 📊

The TensorFlow Lite Converter API is a powerful tool for converting TensorFlow models into the TensorFlow Lite format (.tflite), enabling efficient deployment on mobile and embedded devices. Below are key features and use cases:

🧠 Key Features

• Model Conversion: Convert standard TensorFlow models (.h5, .pb) to optimized .tflite format
• Quantization: Support for post-training quantization and dynamic range quantization
• Optimization: Automatic pruning and operator fusion for performance improvements
• Custom Ops: Integration with custom operations for specialized model requirements

📌 Getting Started

1. Install the converter:

   pip install tflite-converter
   

2. Use the API to convert models:

   converter = tf.lite.TFLiteConverter.from_keras_model(model)
   converter.optimizations = [tf.lite.Optimize.DEFAULT]
   tflite_model = converter.convert()
   

🧩 Example Use Cases

• Convert a Keras model: model_conversion_Keras
• Optimize for mobile devices: optimize_Model_Optimization
• Add custom operations: custom_Ops_Integration

For detailed guides on using the converter API, check our TensorFlow Lite Converter Tool documentation. 🌐