Neural networks, celebrated for their ability to emulate human cognition, are often portrayed as enigmatic black boxes. Their intricate architectures and complex operations obscure the underlying mechanisms that drive their extraordinary performance. Unraveling this mystery requires a thorough exploration of the core principles governing these powe