In this project, we will be using TensorFlow's mobile capabilities to optimize a trained model as a protocol buffer object. We will then integrate the model with an Android app, the logic of which will be written in Java. We need to carry out the following steps:
- Build a model in TensorFlow and train it with the relevant data.
- Once the model performs satisfactorily on the validation dataset, convert the TensorFlow model to the optimized protobuf object (for example, optimized_model.pb).
- Download Android Studio and its prerequisites. Develop the core application logic in Java and the interfacing pages using XML.
- Integrate the TensorFlow trained model protobuf object and its associated dependencies in the assets folder within the project.
- Build the project and run it.
The implementation of this Android app is illustrated...
