Neural networks, lauded for their ability to emulate human cognition, are often characterized as enigmatic black boxes. Their intricate architectures and intricate operations hide the underlying mechanisms that drive their extraordinary performance. Unraveling this mystery demands a thorough exploration of the underlying principles governing these