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

“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

A strong desire of displaying their deep learning and high classical acquirements in Sanskrit, not sometimes unmixed with a contemptible degree of affectation, insensibly leads them to violate the fundamental laws of decorum.

From The Hindoos as they Are A Description of the Manners, Customs and the Inner Life of Hindoo Society in Bengal by Bose, Shib Chunder