Neural networks, renowned for their skill to process complex data, have become a pillar of modern AI. However, their intricate design often persists as a enigma, leading to the proverbial "black box" {phenomenon|. For those seeking to comprehend the inner operations of these powerful systems, a exploration into their depths is essential. Scrutin

Neural networks, the complex designs of artificial intelligence, have transformed 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 their learning algorithms. We'll embark on the layers of a neural networ