Cognitive Smart Cities and Deep Learning: A Classification Framework

Deep learning constitute a promising alternative when it comes to providing algorithms that process a big quantity of data and input variables coming from cognitive cities. But the use of deep learning technologies in the cognitive cities domain started only a few years ago; in that regard, there are still many issues that need to be addressed and not enough literature has been developed. This work provides a novel classification framework of cognitive cities using deep learning algorithms that is based in current surveys for known domains such as machine learning and smart cities, but adds the perspective of efficiency, sustainability and resilience that cognitive cities aim to solve.