Deep Learning’s Diminishing Returns

Read Neil C. Thompson, Kristjan Greenwald, Keeheon Lee, and Gabriel F. Manso’s commentary on why the Deep Learning process is not as good as it seems and will be unsustainable in the future on IEEE Spectrum :

Deep learning is now being used to translate between languages, predict how proteins fold, analyze medical scans, and play games as complex as Go, to name just a few applications of a technique that is now becoming pervasive. Success in those and other realms has brought this machine-learning technique from obscurity in the early 2000s to dominance today. Although deep learning’s rise to fame is relatively recent, its origins are not.

Read their full article here.

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