Neural networks, renowned for their ability to mimic human cognition, are often described as enigmatic black boxes. Their intricate architectures and intricate operations conceal the underlying mechanisms that drive their remarkable performance. Unraveling this mystery requires a comprehensive exploration of the fundamental principles governing the