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