This is a multi-part tutorial - Part 1 | Part 2 | Part 3

The tutorial covers the following:

  • Exporting model checkpoints as SavedModel TF 1.x
  • Conversion of the SavedModel to TensorFlow Lite in TF 2.x with TFLiteConverter
  • Model inference in Python
  • Add metadata to the TFLite model
  • Run TFLite Benchmarking Tool
  • Deploy TFLite model to Android in just a few lines of code with ML Model Binding

Don't forget to tag @sayakpaul , @margaretmz in your comment, otherwise they may not be notified.

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Calling `model.fit()` @ https://pyimagesearch.com | Netflix Nerd
ML GDE | TensorFlow & on-device ML
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