Chapter 8. What's Next?

In the previous chapters, we learned the concept, theory, implementation of deep learning, and how to use libraries. Now you know the basic technique of deep learning, so don't worry. On the other hand, development of deep learning is rapid and a new model might be developed tomorrow. Big news about AI or deep learning comes out one after the other every day. Since you have acquired the basic technique, you can learn about the upcoming new technologies on AI and deep learning quickly. Now, let's walk away from the details of techniques and think about what path the field of AI will or should take. What is the future of deep learning? For the closing chapter, let's think about that. We'll pick up the following topics in this chapter:

• Hot topics in the deep learning industry

• How to manage AI technologies

• How to proceed the study of deep learning further

As for the last topic, about further study, I will recommend a website about deep learning. You can stay ahead of the...

Breaking news about deep learning

Deep learning, which triggered the AI boom, can't stop its momentum. New results are reported each day. As mentioned in Chapter 6, Approaches to Practical Applications – Recurrent Neural Networks and More, many researchers compete on image recognition and natural language processing. Of course, deep learning is not limited to these two fields, but applies to many other fields. The outcome of these applications is very exciting.

In this AI boom, in March 2016, the Go world was shaken by one event. Go is a board game in which two players are trying to take over more territory than their opponent. The news of 'AI beating a human in Go' shocked not only Go players but also the whole world, when a machine, that is, AI, beat a human at Go. DeepMind (https://deepmind.com/), which was bought by Google, has been developing the Go-playing AI, called AlphaGo, and AlphaGo has beaten world-class player Lee Sedol for a fourth time, to win the five-game series four games...

Expected next actions

Since the news about AlphaGo was featured in the media, the AI boom has definitely had a boost. You might notice that you hear the words "deep learning" in the media more often recently. It can be said that the world's expectations of AI have been increased that much. What is interesting is that the term "deep learning," which was originally a technical term, is now used commonly in daily news. You can see that the image of the term AI has been changing. Probably, until just a few years ago, if people heard about AI, many of them would have imagined an actual robot, but how about now? 'The term AI is now often used—not particularly consciously—with regard to software or applications, and is accepted as commonplace. This is nothing but an indication that the world has started to understand AI, which has been developed for research, correctly. If a technology is taken in the wrong direction, it generates repulsion, or some people start to develop the technology incorrectly...

Useful news sources for deep learning

Well, lastly, let's pick up two websites which would be useful for watching the movement of deep learning going forward and for learning more and more new knowledge. It will help your study.

The first one is GitXiv (http://gitxiv.com/). The top page is as follows:

In GitXiv, there are mainly articles based on papers. But in addition to the links to papers, it sets the links to codes which were used for tests, hence you can shorten your research time. Of course, it updates new experiments one after another, so you can watch what approach is major or in which field deep learning is hot now. It sends the most updated information constantly if you register your e-mail address. You should try it:

The second one is Deep Learning News (http://news.startup.ml/). This is a collection of links for deep learning and machine learning related topics. It has the same UI as Hacker News (https://news.ycombinator.com/), which deals with news for the whole technology industry...

Summary

In this chapter, we went from the example of AlphaGo as breaking news to the consideration of how deep learning will or should develop. A machine winning over a human in some areas is not worthy of fear, but is an opportunity for humans to grow as well. On the other hand, it is quite possible that this great technology could go in the wrong direction, as seen in the example of Tay, if the technology of AI isn't handled appropriately. Therefore, we should be careful not to destroy this steadily developing technology.

The field of deep learning is one that has the potential for hugely changing an era with just one idea. If you build AI in the near future, that AI is, so to speak, a pure existence without any knowledge. Thinking what to teach AI, how to interact with it, and how to make use of AI for humankind is humans' work. You, as a reader of this book, will lead a new technology in the right direction. Lastly, I hope you will get actively involved in the cutting edge of the field...