Machine Learning in Android using TensorFlow Lite

In this piece, we’ll use a pre-trained model to illustrate how one can deploy their model on an Android device.

Once your TensorFlow model is ready, you can easily deploy it to a mobile application. This is done by converting it to the TF Lite format. If you are working on a common task such as image classification and object detection, you can easily grab a pre-trained model from TensorFlow Hub . In this piece, we’ll use a pre-trained model to illustrate how one can deploy their model on an Android device.

tflite tensorflow mobile-app-development android heartbeat

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