The authors write, "this survey will be especially helpful for those with a basicunderstanding of machine learning, interested in (i) getting a comprehensive but accessible overview of many fundamental deep learning concepts and (ii) references and guidance in helping ramp up implementation." I can't speak to (ii) but I can say that the explanations are clear and concise, and that the paper as a whole will help a lot of people organize their thinking about deep learning. Topics covered include standard neural network models, supervised learning methods, working with less data, interpretability, and some advanced deep learning models. It's woth comparing the account here with the applications of learning analytics found in the literature (as I've documented here).
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