Neural networks, renowned for their ability to emulate human cognition, are often portrayed as enigmatic black boxes. Their intricate architectures and sophisticated operations conceal the underlying mechanisms that drive their astonishing performance. Unraveling this mystery demands a meticulous exploration of the fundamental principles governing