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