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- Title
Deep learning.
- Authors
LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey
- Abstract
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech.
- Subjects
DEEP learning; MACHINE learning; INTERNET searching; ONLINE social networks; MACHINE theory
- Publication
Nature, 2015, Vol 521, Issue 7553, p436
- ISSN
0028-0836
- Publication type
Article
- DOI
10.1038/nature14539