Neural networks, celebrated for their skill to process complex data, have become a pillar of modern artificial intelligence. However, their sophisticated structure often persists as a puzzle, leading to the proverbial "black box" {phenomenon|. For those desiring to understand the inner mechanisms of these powerful systems, a exploration into their

Neural networks, the intricate architectures of artificial intelligence, have advanced fields from natural language processing. Yet, their decision-making processes remain a cryptic black box. This article aims to uncover the secrets of these neural networks, exploring their organization and the process of training. We'll embark on the layers of a