Neural networks, renowned for their ability to interpret complex data, have become a pillar of modern artificial intelligence. However, their complex structure often lies as a mystery, leading to the common "black box" {phenomenon|. For those seeking to grasp the inner mechanisms of these powerful systems, a voyage into their core is indispensable.

Neural networks, the intricate architectures of artificial intelligence, have advanced fields from natural language processing. Yet, their inner workings remain a cryptic black box. This article aims to shed light on these neural networks, exploring their organization and their learning algorithms. We'll journey through the layers of a neural netwo