Neural networks, renowned for their ability to emulate human cognition, are often characterized as enigmatic black boxes. Their intricate architectures and sophisticated operations obscure the underlying mechanisms that drive their remarkable performance. Unraveling this mystery requires a meticulous exploration of the core principles governing the