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The TensorFlow Lite Model Maker library simplifies the process of adapting and converting a TensorFlow neural-network model to particular input data when deploying this model for on-device ML applications.
This notebook shows an end-to-end example that utilizes this Model Maker library to illustrate the adaption and conversion of a commonly-used image classification model to classify flowers on a mobile device.
Prerequisites
To run this example, we first need to install several required packages, including Model Maker package that in GitHub repo.
sudo apt -y install libportaudio2pip install -q tflite-model-maker