In the past few chapters, we learned about the basics of machine learning, and how to get our environments set up for creating Artificial Intelligence (AI) applications. Now that we've learned the basics, it's time to put our knowledge to use.
In this chapter, we'll focus on:
- How to construct basic AI applications, starting with constructing a basic feedforward network with TensorFlow
- We'll discuss the essential elements of Artificial Neural Networks (ANNs), and then code up an example of a basic feedforward network to illustrate this
ANNs allow us to define complex non-linear problems, and as we delve into the mechanics of true deep learning, you'll begin to see how powerful AI applications can be with deep learning at the core.
We'll get slightly technical dive in this section, and look at the concepts...
