Neither of Hinton's two canonical 2006 papers — the Neural Computation deep-belief-net paper or the Science autoencoder paper — contains the phrase 'deep learning' anywhere in its text

"A Fast Learning Algorithm for Deep Belief Nets" (Hinton, Osindero & Teh, Neural Computation 2006) uses "deep belief net(s)," "deep networks," "deep hidden layers," and "deep, directed belief networks" throughout — its conclusion states:

"We have shown that it is possible to learn a deep, densely connected belief network one layer at a time."

— but the two-word phrase "deep learning" does not occur anywhere in its 28 pages (main text, appendices, or references), confirmed by a complete direct read, not a sample or search-summary. "Reducing the Dimensionality of Data with Neural Networks" (Hinton & Salakhutdinov, Science 2006) likewise uses "deep autoencoder(s)" and "deep networks" throughout but never the phrase "deep learning," across its 4 pages, also confirmed by a complete read.

These are the two papers most commonly pointed to as Hinton's c. 2006 "popularization" of deep learning, including by claim-deep-learning-term-predates-hinton. That note's framing — that Hinton "popularized the phrase... for many-layered neural networks c. 2006" — needs revision at the level of exactly what was popularized: the architecture and results (deep belief nets, layer-wise pretraining) demonstrably were his; the label "deep learning" attached to that architecture, in print, at some point after 2006, by a route this capture did not trace (candidates include Bengio's 2007 "Learning Deep Architectures for AI" and the surrounding NeurIPS-era greedy-pretraining literature — unread here).

A web-search pass this session also surfaced a confidently-stated secondary claim ("the term 'deep learning' was first used in 2006 by Hinton et al.") from a general search-summarization tool, directly contradicted by this direct full-text read — a small instance of the vault's recurring citogenesis/hedge-erosion pattern (claim-ivakhnenko-gmdh-first-deep-characterization).