Neural networks, lauded for their capacity to interpret complex data, have become a cornerstone of modern artificial intelligence. However, their complex architecture often remains as a enigma, leading to the proverbial "black box" {phenomenon|. For those aiming to understand the inner operations of these powerful systems, a journey into their core

Neural networks, the intricate designs of artificial intelligence, have advanced fields from natural language processing. Yet, their decision-making processes remain a puzzling black box. This article aims to uncover the secrets of these neural networks, exploring their framework and how they learn. We'll journey through the layers of a neural netw