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

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

“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

Researchers led by Professor Jun-Hee Na from Chungnam National University, Republic of Korea, have now introduced a faster way to predict stable defect patterns using deep learning.

From Science Daily

The research team also included Yoshua Bengio, founder of Mila and LoiZéro, and a pioneer of deep learning, the technology behind modern AI systems such as ChatGPT.

From Science Daily

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

From Science Daily