Chapter 6. Approaches to Practical Applications – Recurrent Neural Networks and More

In the previous chapters, you learned quite a lot about deep learning. You should now understand the fundamentals of the concepts, theories, and implementations of deep neural networks. You also learned that you can experiment with deep learning algorithms on various data relatively easily by utilizing a deep learning library. The next step is to examine how deep learning can be applied to a broad range of other fields and how to utilize it for practical applications.

Therefore, in this chapter, we'll first see how deep learning is actually applied. Here, you will see that the actual cases where deep learning is utilized are still very few. But why aren't there many cases even though it is such an innovative method? What is the problem? Later on, we'll think about the reasons. Furthermore, going forward we will also consider which fields we can apply deep learning to and will...