Neural networks, celebrated for their capacity to interpret complex data, have become a foundation of modern AI. However, their intricate design often lies as a puzzle, leading to the common "black box" {phenomenon|. For those aiming to grasp the inner operations of these powerful systems, a exploration into their depths is crucial. Scrutinizing

Neural networks, the intricate systems of artificial intelligence, have transformed fields from autonomous driving. Yet, their decision-making processes remain a elusive black box. This article aims to penetrate the depths these neural networks, exploring their framework and their learning algorithms. We'll venture into the layers of a neural netwo