Title: Deep Learning: A Critical Appraisal,
Abstract: Although deep learning has historical roots going back decades, neither the
term "deep learning" nor the approach was popular just over five years ago,
when the field was reignited by papers such as Krizhevsky, Sutskever and
Hinton's now classic (2012) deep network model of Imagenet. What has the field
discovered in the five subsequent years? Against a background of considerable
progress in areas such as speech recognition, image recognition, and game
playing, and considerable enthusiasm in the popular press, I present ten
concerns for deep learning, and suggest that deep learning must be supplemented
by other techniques if we are to reach artificial general intelligence.