Neural networks, celebrated for their capacity to interpret complex data, have become a pillar of modern AI. However, their intricate structure often persists as a mystery, leading to the proverbial "black box" {phenomenon|. For those aiming to comprehend the inner operations of these powerful systems, a exploration into their heart is essential.

Neural networks, the sophisticated architectures of artificial intelligence, have advanced fields from autonomous driving. Yet, their inner workings remain a elusive black box. This article aims to shed light on these neural networks, exploring their structure and the process of training. We'll venture into the layers of a neural network, understan