Neural networks, celebrated for their ability to mimic human cognition, are often described as enigmatic black boxes. Their intricate architectures and complex operations conceal the underlying mechanisms that drive their astonishing performance. Unraveling this mystery requires a meticulous exploration of the core principles governing these powerf