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

TPUs, on the other hand, do one thing—matrix math for deep learning—but they do it very well.

From Barron's

Deep learning has been the main thrust of AI research for over a decade now, leading us to the large language models that are powering new AI applications like chatbots and coding assistants.

From Barron's

Professor Yann LeCun was being honoured along with six other recipients for his contributions to the field, which have been credited as advancing deep learning.

From BBC

To overcome these barriers, Hirashima and his team designed a method that blends a deep learning surrogate model with standard physical simulations.

From Science Daily

As these light waves interact, they automatically carry out mathematical procedures such as matrix and tensor multiplication, which form the basis of deep learning.

From Science Daily