In this chapter, we will be using a pre-trained TensorFlow model, specifically the Inception model, and we’ll integrate the model into a Windows Presentation Foundation (WPF) application. We will be taking the pre-trained model and applying transfer learning, by adding some pictures of food and bodies of water. After the transfer learning has been performed, we then allow the user to select their own images. By the end of the chapter, you should have a firm grasp of what it takes to integrate a TensorFlow model into your ML.NET application.
The following topics will be covered in this chapter:
- Breaking down Google's Inception model
- Creating the image classification desktop application
- Exploring additional production application enhancements
