Deep learning for AI

How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language?

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Bibliographic Details
Published inCommunications of the ACM Vol. 64; no. 7; pp. 58 - 65
Main Authors Bengio, Yoshua, Lecun, Yann, Hinton, Geoffrey
Format Magazine Article
LanguageEnglish
Published New York, NY, USA ACM 01.07.2021
Association for Computing Machinery, Inc
Association for Computing Machinery
Subjects
Architectures
Artificial intelligence
Artificial neural networks
Computer scientists
Computer systems organization
Computing methodologies
Deep learning
Forecasts and trends
History
Innovations
Knowledge representation and reasoning
Machine learning
Machine learning approaches
Neural networks
Object recognition
Other architectures
Speeches, lectures and essays
United States
Online AccessGet full text

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More Information
Summary:How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language?
ISSN:0001-0782
1557-7317
DOI:10.1145/3448250