Summary

In this chapter, we explored the Keras API with general comments and insights followed by the same basic architecture expressed in four different ways, for training with the mnist dataset.

In the next chapter, we will start to use TensorFlow in earnest by exploring a number of supervised learning scenarios, including linear regression, logistic regression, and k-nearest neighbors.