… transfer learning, as well as deep reinforcement learning, or … from the perspective of these
neural networks and deep learning … industries, especially from the deep learning point of view. …

… This review paper provides an overview of the research progress in the application of
learning methods with a focus on deep learning in personalised medicine. In particular, three do…

… used deep learning architectures. Section 3 discusses the strategies of deep learning from
… Finally, we discuss the challenges and perspectives of deep learning for Big Data in Section …

… We ground these three properties in empirical and theoretical findings from the deep
learning … If these risks will plausibly emerge from modern deep learning techniques, targeted …

… However, we realize that an in-depth view of Machine Learning (ML) and Deep Learning
(DL) for securing IoT networks against intrusions, is yet to be explored that ends up being the …

… The idea of learning the right representation for the data provides one perspective on deep
learning. Another perspective on deep learning is that depth enables the computer to learn a …

… , few of them has provided a whole picture about how and to what extent deep learning has
… from deep learning perspective. We first present a brief introduction of deep learning and …

… Deep learning occurs when a person attempts to comprehend difficult material, to solve a …
perspectives that highlight the importance of cognitive disequilibrium to deep learning and …

… Recently, deep learning [13] has achieved remarkable … why deep learning works so well
from a theoretical perspective. This is widely known as the “black-box” nature of deep learning. …

… of more powerful representation-learning algorithms. This paper reviews … learning and
deep learning, covering advances in probabilistic models, manifold learning, and deep learning. …