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

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Example Sentences

See Examples For:

deep learning

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

"Based on the principle of polarization holography, we used a deep learning architecture known as a convolutional neural network model to enable the use of polarization as an independent information dimension."

From Science Daily ● Mar. 29, 2026

The researchers also note that inverse-design methods, including genetic algorithms and deep learning, could help speed up device optimization and support real-world system deployment.

From Science Daily ● Feb. 5, 2026

Chamber music represents pure thought, lofty imagination, and deep learning.

From How to Listen to Music, 7th ed. Hints and Suggestions to Untaught Lovers of the Art by Henry Edward Krehbiel

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