Neural networks, lauded for their skill to interpret complex data, have become a pillar of modern AI. However, their sophisticated design often lies as a enigma, leading to the proverbial "black box" {phenomenon|. For those aiming to comprehend the inner mechanisms of these powerful systems, a voyage into their depths is essential. Examining the

Neural networks, the complex architectures of artificial intelligence, have transformed fields from natural language processing. Yet, their decision-making processes remain a cryptic black box. This article aims to penetrate the depths these neural networks, exploring their structure and the process of training. We'll embark on the layers of a neur