… Machine learning and deep learning algorithms have been … the implementation of artificial
intelligence and deep learning in this field… In summary, artificial intelligence and deep learning …

… of machine learning and provide insight into recently developed deep learning approaches
… We suggest that this evolution of machine intelligence now provides a guide for early-stage …

… Also, we discuss the deep learning enablers for network systems. In addition, we discuss, …
deep learning based intelligent routing. We demonstrate the effectiveness of the deep learning-…

… machine learning techniques in VS, including deep learning, … considering the application of
deep learning in biomedicine, … a strong emphasis on deep learning applications. Finally, we …

… be solved convincingly by deep neural networks. Although deep learning appears to be
reducing … that many insights learned from ‘pre-Deep Learning’ works still apply and will be more …

… We provide a new taxonomy of existing deep learning approaches, relevant to localization
and mapping, to connect the fields of robotics, computer vision and machine learning. Broadly…

… of artificial intelligence and machine learning, and in particular, so-called deep learning
systems … Here we give a brief review of recent developments in deep learning, and highlight the …

… Machine learning describes the capacity of systems to learn … Deep learning is a machine
learning concept based on … , deep learning models outperform shallow machine learning …

… idea is to infuse increasingly more intelligence into machines, and we believe that a
synergistic combination of data-driven and rule-based/semantic learning should be the way to go. …

… the increasingly popular field of ensemble deep learning and its application to various … deep
learning, and summarize and categorize the latest developments in ensemble deep learning…