Neural networks, lauded for their skill to process complex data, have become a cornerstone of modern artificial intelligence. However, their complex design often persists as a puzzle, leading to the proverbial "black box" {phenomenon|. For those aiming to understand the inner mechanisms of these

Neural networks, the sophisticated architectures of artificial intelligence, have advanced fields from autonomous driving. Yet, their decision-making processes remain a puzzling black box. This article aims to penetrate the depths these neural networks, exploring their organization and the proces