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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.


Etymology

Origin of deep learning

First recorded in 1985–90

Example Sentences

Examples are provided to illustrate real-world usage of words in context. Any opinions expressed do not reflect the views of Dictionary.com.

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

“People should stop training radiologists now. It’s just completely obvious that within five years, deep learning is going to do better than radiologists.”

From The Wall Street Journal • Feb. 4, 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

Though it’s been out for two years already, Li’s account of the early years of computer vision and deep learning is a refreshing break from the LLM-centric discourse dominating many discussions of AI.

From Los Angeles Times • Dec. 22, 2025

Yet he was a man of deep learning and refined manners, who had travelled much, and knew some dozen languages.

From Amos Huntingdon by Wilson, Theodore P.