deep learning

American  

[deep lur-ning] / ˈdip ˌlɜr nɪŋ /

noun

Computers.

1. an advanced type of machine learning that uses multilayered neural networks to establish nested hierarchical models for data processing and analysis, as in image recognition or natural language processing, with the goal of self-directed information processing.

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Etymology

Origin of deep learning

First recorded in 1985–90

Example Sentences

More recently, Tubi combined large language models, or LLMs, with deep learning techniques—enabling it to better understand “the nature of the user’s intent,” Bidgoli says.

From The Wall Street Journal • Apr. 9, 2026

He redoubled his wooing of individual researchers and invited Yann LeCun, the deep learning pioneer based at New York University, over for another recruitment dinner.

From The Wall Street Journal • Mar. 25, 2026

TPUs specialize in matrix math for deep learning, and in the right circumstances can provide a much better cost structure than Nvidia’s graphics processing units.

From Barron's • Jan. 13, 2026

It combines deep learning with constraints inspired by physics to narrow down the system to a much smaller set of variables that still capture its essential behavior.

From Science Daily • Dec. 22, 2025

Father Fromm gazed at the deep learning with a critical eye, then graciously expressed his approval.

From Debts of Honor by Yolland, Arthur B. (Arthur Battishill)