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Android Machine Learning with TensorFlow Lite and tf.Keras

L10 - E2E: Deploy the TFLite model to Android

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Now that you have the TensorFlow TFLite (.tflite) model, you can create an Android app to classify hand-written digits. This lesson covers how to update Gradle dependencies needed for the TensorFlow wrapper and how to create the image classifier class:
- Initialize a TFLite interpreter.
- Pre-process the input image.
- Run inference with the TFLite model via the interpreter.
- Post-process the output result for displaying in UI.

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