… , deep learning (DL) models have shown outstanding performances in the recent decade.
Deep learning (… To show some recent advances of deep learning to some extent, we select 14 …

… deep learning architecture for face recognition problem. A comparison of the performance
of supervised deep learning … analysis of deep learning and non-deep learning methods is …

… advanced deep learning technologies have achieved great success in medical image analysis
with high accuracy, efficiency, stability, and scalability. Technological advancements that …

… , especially from the leap-frog advancements in deep learning approaches addressing
technical challenges across multiple machine learning domains. We believe that this survey work …

… are deep learning based due to their outstanding performance. In this survey, we mainly focus
on the deep learning … up-to-date one at present for deep learning based dialogue systems, …

… Like all other fields in NLP, question answering was also impacted by the advancement of
deep learning [183], so we provide an overview of QA in deep learning contexts. We briefly …

… deep learning based image classification, object detection techniques using deep learning
… survey of recent advances in visual object detection with deep learning. By reviewing a large …

… of deep learning methods followed by a detailed discussion of recent developments of
deep learning in … With this in mind, we begin with a very basic introduction to Deep learning. …

… We comprehensively summarized the research progress of deep learning technology in …
advances of not-so-supervised approaches in detail. In particular, self-supervised learning is …

… [66] provide a thoroughly survey on deep learning based object detection frameworks. …
a systematic and comprehensive review of deep learning-based algorithms that handle small …