Over the course of this chapter, we have deep-dived into what goes into creating a WPF application using a pre-trained TensorFlow model. We also reviewed and looked closely into Google's image classification Inception model. In addition, we learned how to take that model and integrate it in order to perform image classification on user-selected images. Lastly, we also discussed some ways to further enhance the example application.
In the next and last chapter, we will focus on using a pre-trained ONNX model in a WPF application for object detection.
