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

See Examples For:

deep learning

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

Even more unexpectedly, the mathematics describing this motion closely resemble deep learning, the technique used to train modern artificial intelligence systems.

From Science Daily ● Jan. 15, 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

"What a pity that a man so largely endowed with penetration, talent, deep learning, and natural intelligence, should sink so low!"

From The Mysteries of Paris, Volume 1 of 6 by Sue, Eugène