Neural networks, lauded 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 extraordinary performance. Unraveling this mystery necessitates a comprehensive exploration of the underlying principles gov