In 1997, a significant milestone occurred in the world of Artificial Intelligence when IBM's Deep Blue defeated the world chess champion, Garry Kasparov.

This event not only changed the perception of AI globally but also ignited a wave of excitement and concerns about its potential to surpass human capabilities in various areas.

The recent spectacular advancements in AI, particularly in areas such as computer vision and natural language processing, have largely been driven by a powerful technique called deep learning.
This raises the intriguing question:

How does the "brain" of a neural network-based AI work?