Neural networks, lauded for their ability to emulate human cognition, are often described as enigmatic black boxes. Their intricate architectures and complex operations conceal the underlying mechanisms that drive their remarkable performance. Unraveling this mystery demands a meticulous exploration of the underlying principles governing these pote