TFLite Model personalization on IoT devices

Hello tflite-support team!

Thank you for building an awesome project.

Do you have roadmap visibility for model personalization (transfer learning) on IoT devices (e.g. rpi) ? The feature has been available for Android since 2019 and the blog post hints to an upcoming implementation for other platforms.

Future work
The evolution of the transfer learning pipeline in the future is likely to be coupled with the development of the full training solution in TensorFlow Lite. Today we provide the transfer learning pipeline as a separate example on GitHub, and in the future we plan to support full training. The transfer learning converter would then be adapted to produce a single TensorFlow Lite model that would be able to run without an additional runtime library.

Thank you,

Ivelin