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

Mr. Hinton, a computer scientist and Nobel physics laureate known as the “godfather of deep learning,” told Jon Stewart in a podcast: “I believe they have subjective experiences. But they don’t think they do because everything they believe came from trying to predict the next word a person would say.”

From The Wall Street Journal

Though it’s been out for two years already, Li’s account of the early years of computer vision and deep learning is a refreshing break from the LLM-centric discourse dominating many discussions of AI.

From Los Angeles Times

It combines deep learning with constraints inspired by physics to narrow down the system to a much smaller set of variables that still capture its essential behavior.

From Science Daily

She adds that Google's DeepMind team is already using the dataset to benchmark their recent deep learning model called AlphaGenome.

From Science Daily

The investigators applied their deep learning model to the CT scans to automatically outline and measure adrenal gland volume.

From Science Daily