In this chapter, we did a quick recap of all the different neural networks and key concepts that were covered in this book. We then looked at some cutting-edge developments in neural networks, including generative adversarial networks and deep reinforcement learning. Even though the potential of neural networks may seem boundless at times, it is important for us to remember that there are limitations to what the current state of neural networks can accomplish. Next, we surveyed the landscape of machine learning and AI in general, and we saw what AI could look like in the near future. We also offered some tips to readers on keeping up with the constantly evolving field of machine learning.
Finally, I would like to conclude this book by asking the following question—what will you create? We live in an age of highly advanced technology, where access to information...
