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

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

By applying deep learning models trained on tens of thousands of MRI scans, the team estimated the "brain age" of different regions in each hemisphere and examined how stroke affects both structure and recovery.

From Science Daily ● Mar. 29, 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

Dr. Saugrain himself had always something wise and witty to say, and being a man of deep learning and much science, was often, also, most instructive.

From The Rose of Old St. Louis by Mary Dillon