How do you verify a TFLite model?

You can retrain the model using frozen graphs and TFLite models . If you get new training data and want to update the model in your app, try hosting it using Firebase MLKit.

You may use TensorFlow Lite Python interpreter to test your tflite model. It allows you to feed input data in python shell and read the output directly like you are just using a normal tensorflow model.

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. It works cross-Platform and is supported on Java, C++ (WIP), and Swift (WIP) .

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