Neural networks, lauded for their capacity to process complex data, have become a pillar of modern AI. However, their complex architecture often lies as a mystery, leading to the proverbial "black box" {phenomenon|. For those desiring to understand the inner mechanisms of these powerful systems,

Neural networks, the sophisticated systems of artificial intelligence, have transformed fields from image recognition. Yet, their decision-making processes remain a puzzling black box. This article aims to penetrate the depths these neural networks, exploring their organization and their learning