Summary

In this chapter, we learned what digital images are and how to create machine learning models with them. We then covered how to use the Keras library to train neural network models for images. We also covered what regularization is, how to use it with neural networks, what image augmentation is, and how to use it was our focus. We covered what CNNs are and how to implement them. Lastly, we discussed various image preprocessing techniques.

Now that you have completed this chapter, you will be able to handle any kind of data to create machine learning models. In the next chapter, we shall learn how to process human language.