Deep learning: Evolution and expansion

This paper historically attempts to map the significant success of deep neural networks in notably varied classification problems and application domains with near human-level performance. The paper also addresses the various doubts surrounding the acceptance of deep learning as a science of future. The manuscript attempts to unveil the hidden capabilities of deep neural networks in enabling machines perform the human way tasks which can be learned through what we call observation and experience.