… Considering the popularity and expansion of Deep Learning in recent years, we present
a brief overview of Deep Learning as well as Neural Networks (NN), and its major advances …

… 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 …

… We have reviewed the advanced deep learning algorithms for the computational analysis
of H&E-stained histopathological images. We presented some recent findings on the state-of-…

… 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 refers to a set of computer models that have … Furthermore, it is possible that
deep learning could be used to … -of-the-art in applying deep learning for cancer diagnosis, and …

… Advances in deep learning have also depended heavily on advances in software infrastructure.
Software libraries such as Theano (Bergstra et al., 2010; Bastien et al., 2012), PyLearn2 (…

… deep learning to clinical tasks based on EHR data, where we find a variety of deep learning
… including information extraction, representation learning, outcome prediction, phenotyping, …

… , 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, …