tmpfs/src/tf_docs_env/lib/python3.7/site-packages/pkg_resources/_init_.py:119: PkgResourcesDeprecationWarning: 0.18ubuntu0.18.04.1 is an invalid version and will not be supported in a future release pip install -q tflite-model-makerįrom tflite_model_maker import model_specįrom tflite_model_maker import image_classifierįrom tflite_model_nfig import ExportFormatįrom tflite_model_nfig import QuantizationConfigįrom tflite_model_maker.image_classifier import DataLoader To run this example, we first need to install several required packages, including Model Maker package that in GitHub repo. 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. 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.
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