In this chapter, we studied the architectures of LeNet-5, AlexNet, VGG-16, and ResNet-50. Then, we discussed transfer learning and how we can use it to train our model easily and efficiently. We also learned how to build a cat-and-dog recognizer Java application using the VGG-16 architecture and transfer learning.

In the next chapter, we'll explore real-time object detection, which performs recognition and marks objects with bounding boxes.