What we learned in this book

Now that we have finished with the experiments, I hope that you have gained a solid understanding of the neuroevolution method of training artificial neural networks. We used neuroevolution to find solutions to a variety of experiments, from classic computer science problems to the creation of agents that are capable of playing Atari games. We also examined tasks related to computer vision and visual discrimination.

In this section, we will summarize what we learned in each chapter of this book.

Overview of the neuroevolution methods

In this chapter, we learned about the core concepts of genetic algorithms, such as genetic operators and genome encoding schemes.

We discussed two major genetic operators...