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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.

See Examples For:

A deep learning model examined patterns across the entire antibody panel, combining numerous measurements to build a broader picture of each participant's immune state.

From Science Daily Aug. 21, 2026

The methods I use have evolved since, from machine learning to deep learning to what we have today.

From MarketWatch Jul. 27, 2026

While at OpenAI, Karpathy worked on deep learning for generative-AI models and deep reinforcement learning.

From MarketWatch May 19, 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

Onesimo was their next tutor, a man of deep learning and a fervent missionary who came to Prefetta with a following of thirteen or fourteen disciples and boarded and lodged with Prince Vitale. 

From Castellinaria and Other Sicilian Diversions by Henry Festing Jones

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