Disambiguation evidence for “Learning representations by back-propagating errors” via surface form
"Learning representations by back-propagating errors"
As subject (40)
Triples where this entity appears as subject under the
label "Learning representations by back-propagating errors".
| Predicate | Object |
|---|---|
| algorithmType | gradient-based learning algorithm ⓘ |
| author | David E. Rumelhart ⓘ |
| author |
Geoffrey Hinton
ⓘ
surface form:
Geoffrey E. Hinton
|
| author | Ronald J. Williams ⓘ |
| citationStatus | highly cited paper in machine learning ⓘ |
| contribution | demonstrated that internal representations can be learned by gradient descent ⓘ |
| contribution | popularized backpropagation for training multi-layer neural networks ⓘ |
| contribution | showed that distributed representations can solve complex pattern recognition tasks ⓘ |
| era | connectionist revival of the 1980s ⓘ |
| field | artificial intelligence ⓘ |
| field | deep learning ⓘ |
| field | machine learning ⓘ |
| field | neural networks ⓘ |
| focus | learning internal hidden-unit representations ⓘ |
| focus | training feedforward neural networks ⓘ |
| historicalSignificance | helped launch the modern field of deep learning ⓘ |
| influencedField | computer vision ⓘ |
| influencedField | deep learning ⓘ |
| influencedField | natural language processing ⓘ |
| influencedField | speech recognition ⓘ |
| instanceOf | landmark paper in machine learning ⓘ |
| instanceOf | research article ⓘ |
| instanceOf | scientific paper ⓘ |
| language | English ⓘ |
| learningParadigm | error backpropagation ⓘ |
| mainTopic | backpropagation algorithm ⓘ |
| mainTopic | multi-layer neural networks ⓘ |
| mainTopic | representation learning ⓘ |
| mainTopic | supervised learning ⓘ |
| method | chain rule of calculus for error propagation ⓘ |
| method | gradient descent on error function ⓘ |
| networkType | multi-layer perceptron ⓘ |
| publicationYear | 1986 ⓘ |
| publishedIn | Nature ⓘ |
| publisher | Nature Publishing Group ⓘ |
| relatedAlgorithm | backpropagation ⓘ |
| relatedConcept | credit assignment problem ⓘ |
| relatedConcept | distributed representations ⓘ |
| relatedConcept | gradient-based optimization ⓘ |
| title |
“Learning representations by back-propagating errors”
self-link
ⓘ
surface form:
Learning representations by back-propagating errors
|
As object (1)
Triples where some other subject referred to this entity
as "Learning representations by back-propagating errors".
“Learning representations by back-propagating errors”
→
title
→
"Learning representations by back-propagating errors"
self-link
ⓘ
↳ resolves to “Learning representations by back-propagating errors”
surface form:
Learning representations by back-propagating errors