Neural networks, celebrated for their ability to interpret complex data, have become a cornerstone of modern machine learning. However, their intricate design often lies as a enigma, leading to the familiar "black box" {phenomenon|. For those desiring to comprehend the inner workings of these powerful systems, a voyage into their depths is crucial.

Neural networks, the sophisticated systems of artificial intelligence, have revolutionized fields from autonomous driving. Yet, their decision-making processes remain a puzzling black box. This article aims to uncover the secrets of these neural networks, exploring their organization and how they learn. We'll embark on the layers of a neural networ