… Deep learning has already shown success in a … challenges and opportunities for deep
learning in various areas of research and, where possible, review studies that apply deep learning …

… Indeed, deep learning methods hold great potential for drug … by developing interpretable
deep learning methods that … improvement of interpretable deep learning in drug sensitivity …

… With the advent of deep neural networks (deep learning; see Table 1 for a glossary of key
terms), it is now possible to estimate joint angles without the need for reflective markers. This …

… Learning Table 15.2 specifies the various issues and challenges faced by researchers for
using deep learning in … , J., Opportunities and challenges in developing deep learning models …

… in deep learning have created exciting opportunities for next-generation electrochemical
technologies. While deep learning … We identify key barriers to realizing this opportunity and how …

… As the number of deep learning frameworks increase and certain ones gain popularity, it …
in deep learning. To do this, we look at some of the most popular deep learning frameworks …

Automated evaluation of facial palsy using machine learning offers a promising solution to
the limitations of current assessment methods, which can be time-consuming, labor-intensive, …

… and challenges for the community; indicating the need for novel approaches to address this
vexing issue. Deep learning … these challenges, with future opportunities being enumerated. …

… However, the major limitation of deep learning still remains unsolved: the results of the
computations are unexplained. More specifically, the features acquired by deep learning are just …

… In this paper, we present recent algorithms, works, challenges, and … However, we also
propose directions, research opportunities… We summarize recent works that apply deep learning …