Neural networks, celebrated for their ability to emulate human cognition, are often characterized as enigmatic black boxes. Their intricate architectures and intricate operations conceal the underlying mechanisms that drive their remarkable performance. Unraveling this mystery demands a comprehensive exploration of the underlying principles governi