Neural networks, renowned for their capacity to interpret complex data, have become a pillar of modern machine learning. However, their sophisticated architecture often lies as a puzzle, leading to the familiar "black box" {phenomenon|. For those aiming to comprehend the inner mechanisms of these powerful systems, a exploration into their heart is

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 structure and the process of training. We'll venture into the layers of a neural