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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

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See Examples For:

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

From MarketWatch Jul. 27, 2026

To build the tool, the HKUMed team used deep learning to combine several layers of biological information.

From Science Daily Jul. 19, 2026

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

From MarketWatch May 19, 2026

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

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

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

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