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