Neural networks, celebrated for their ability to replicate human cognition, are often portrayed as enigmatic black boxes. Their intricate architectures and sophisticated operations conceal the underlying mechanisms that drive their astonishing performance. Unraveling this mystery demands a comprehensive exploration of the fundamental principles gov