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

By applying deep learning models trained on tens of thousands of MRI scans, the team estimated the "brain age" of different regions in each hemisphere and examined how stroke affects both structure and recovery.

From Science Daily • Mar. 29, 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

Sometimes the caligrapher is a sort of hero:— To you, you rare commander of the quill, Whose wit and worth, deep learning, and high skill, Speak you the honour of Great Tower Hill!

From Curiosities of Literature, Vol. 3 by Disraeli, Isaac