From TF to TFLite: Deploying ML Models on Mobile [Part 2]

This is part 2 of the two-part article on deploying ML models on mobile. We saw how to convert our ML models to TfLite format here. The Android app we are building has a GAN model generating handwritten digits and a classifier model predicting the generated digit. Find the code for the android app here. To load the models in Android, we must import and use the model to load and use Tflite interpreter. The model can be loaded as follows: create an Interpreter object.