Apple has made it relatively easy to integrate deep learning models into xCode for App development.
I would like to use deep learning models within filemaker.
For instance to auto-tag photos and, ideally, in future, to improve the model as we go along with manual tagging.
I understand that with the various interfaces available I may be able to communicate back and forth with web hosted servers my own and others that implement deep learning models. Best practices here would be welcome.
However I am building field data collection apps which operate entirely independently, completely off grid, no wifi,
no cell, and no sat. So deeper integration, particularly with FMGo would be helpful.
Any thoughts or suggestions are most welcome.