Summary

In this chapter, we began by understanding the basics of Keras and saw why Keras is so useful. We learned about the types of Keras execution, and we also built our first deep learning model step by step. We went through the different steps of building a model: importing data, splitting data, normalizing data, building the model, compiling the model, training the model, predicting unseen data, evaluating model performance, and finally saving and loading the model. 

In the next chapter, we are going to learn about computer vision techniques.