Neural networks, lauded for their ability to mimic 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 comprehensive exploration of the fundamental principles governing thes