deep learning

[ deep lur-ning ]

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.

Word History and Origins

Origin of deep learning¹

First recorded in 1985–90

Example Sentences

"Using the frequency domain in such cases can help create optically meaningful data representations -- a notion that allows m-rBCR to solve the deconvolution task with surprisingly few parameters compared to other modern-day deep learning architectures," explains Rui Li, first author and presenter at the ECCV.

From Science Daily

Typically, you need a lot of data and deep learning algorithms to address this kind of problems successfully.

From Science Daily

The vast majority of deep learning architectures operate on the spatial domain.

From Science Daily

The study used a sophisticated deep learning model to analyze four decades of data, from 1980 to 2019, from 430 rivers throughout the contiguous United States.

From Science Daily

In addition, they are interested in applying more deep learning techniques and combining PlatoNeRF with color image measurements to capture texture information.

From Science Daily