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About this paper
Yoshua Bengio
This paper presents a research agenda for deep learning toward AI-scale systems. It identifies four challenges: scaling computation, optimizing deep networks, reducing costly inference and sampling, and learning representations that separate factors of variation. It cites prior ImageNet results in which top-five error fell from 26.1% to 15.3%. These are proposed directions, not solutions demonstrated by the paper.
Summary by alphaXiv.
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