Deep learning: Evolution and expansion
Deep learning: Evolution and expansion is a scholarly work, published in 2018 in ''Cognitive Systems Research''. The main subjects of the publication include data science, anomaly detection, deep learning, artificial intelligence, generative adversarial network, artificial neural network, cognitive science, machine learning, and computer science. The 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.