Summary

We began this chapter by briefly looking into the history of CNNs. We introduced you to the implementation of visualizing images. 

We studied image classification with the help of a practical example, using all the principles we learned about in the chapter. Finally, we learned how image augmentation helps us avoid overfitting and studied the various other features provided by image augmentation.

In the next chapter, we will learn how to build a simple image classifier CNN model from scratch.