Beta
Search, read and download over 200 million research papers for free
DOI: 10.1038/nature14539
OpenAccess: Closed
This work is not Open Acccess. We may still have a PDF on file in the green box below.

Deep learning

Yann LeCun,Yoshua Bengio,Geoffrey E. Hinton

Computer science
Deep learning
Artificial intelligence
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.


Share this