… 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 …

… 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 …

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

… 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 …

… 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. …

… As deep learning has made significant advancements and … , the widely used domains of deep
learning are business, science and … of deep learning, its basic and advanced architectures, …

… 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 …

Since its renaissance, deep learning has been widely … the advances in high performance
computing. However, medical imaging presents unique challenges that confront deep learning …

… advances that have occurred in the area of Deep Learning (… idea on deep learning and its
related fields, including deep … GAN also used for semi-supervised learning tasks) and DRL. In …