Deep Learning

In the chapters that follow, we present real-world code examples of most of these networks and cover considerations of training and tuning for different kinds of neural networks. In Chapter 5 we see how these concepts come together in API examples in which we see the DL4J deep learning library in action. Before we move on to some more examples, let's discuss a few topics that come up frequently in the context of deep learning. The debate around deep learning making other modeling algorithms obsolete comes up many times on internet message boards. The answer today is "no" because for many simpler machine learning applications, we see far simpler algorithms work just fine for the required model accuracy. Models like logistic regression are also easier to work with, so we need to gauge the level of effort against the required accuracy in the domain when making this decision.