… In this section, we survey the basic of deep learning-based models and discuss their …
present, the deep learning mainly includes stacked automatic encoder, deep belief network, deep …

… more complex, deep learning has been in its path to be a critical tool to cater to big data
analysis. In our survey, challenges and opportunities in key areas of deep learning are raised …

… survey provides a valuable reference for new deep learning practitioners, as well as those
seeking to innovate in the application of deep learning… of future deep learning application and …

… and conventional learning approaches and the major … , a comprehensive survey of the major
applications of deep learning … the contribution of that respective application in the real world. …

… and applications, and analyze its future directions. The goal of this tutorial survey is to
introduce the emerging area of deep learning or hierarchical learning to the APSIPA community. …

… paper surveys a wide range of research works reported in the literature which aim to control
a vehicle through deep learning … and limitations of available deep learning methods through …

… efficiently for various IoT applications on smart devices. In this article, we survey the literature
on leveraging deep learning to various IoT applications. We aim to give insights on how …

… applications to detect new variants of malware and zero-day attacks. In this survey paper, we
outlined the application of … types that targeted networks, application software, host systems, …

… deep learning began. Furthermore, DL approaches that have been explored and evaluated
in different application domains are also included in this survey… and evaluating deep learning …

… deep learning architectures and their practical applications. An up-to-date overview is provided
on four deep learning … , convolutional neural network, deep belief network, and restricted …