Deep Learning Scales

Published 2020-03

In the 1980s, Geoffrey Hinton and a team of researchers at Carnegie Mellon University hypothesized a back propagation-based training method that could someday lead to an unsupervised A.I. network.

Source

Verdict

renamedThe same phenomenon is listed again within two editions under a new name (D33).

Continued as ftsg-tech-trends-2022-064

A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6, D33).

All captured fields

rank: 28
section: Artificial Intelligence
subsection: Processes, Systems and Computational Neuroscience
subject: Deep Learning Scales
page: 40
confidence: medium
note: Title from the contents list in the SlideShare transcript of the publisher upload; order and section from contents page numbers. Quote added 2026-10-02 from the full slide transcript of the publisher upload (SlideShare, Wayback capture of the newer page format); source_url points at the section that holds the page.