Summary

In this chapter, we learned about CNNs and the different ways of tweaking them, and also implemented a handwritten digit recognition model using Keras. We also learned about the hyperparameters for image-based problems and different accuracy metrics, such as accuracy, F1 score, precision, and recall. 

In the next chapter, we will implement an image classifier for traffic sign detection. With this project, we will be one step closer to seeing the real-time application of autonomous vehicles.