> For the complete documentation index, see [llms.txt](https://docs.binaexperts.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.binaexperts.com/train/framework/tflite.md).

# TFLite

**TensorFlow Lite (TFLite)**

TensorFlow Lite is a lightweight solution for deploying machine learning models on mobile and embedded devices. Follow these steps to deploy TensorFlow Lite models:

1. **Model Conversion**: Convert your TensorFlow models to TensorFlow Lite format using tools provided by TensorFlow. Ensure compatibility with your target platform and optimize the model for inference speed and memory footprint.
2. **Integration with Mobile Apps**: Integrate the TensorFlow Lite model into your mobile or embedded application. Utilize TensorFlow Lite interpreter APIs to perform inference on-device, providing real-time predictions without relying on network connectivity.