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- Backpropagation abstract "Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks. From a desired output, the network learns from many inputs, similar to the way a child learns to identify a dog from examples of dogs.It is a supervised learning method, and is a generalization of the delta rule. It requires a dataset of the desired output for many inputs, making up the training set. It is most useful for feed-forward networks (networks that have no feedback, or simply, that have no connections that loop). Backpropagation requires that the activation function used by the artificial neurons (or "nodes") be differentiable.This article provides details on how backpropagation works. For programmers attempting to implement a system, the tutorials linked in the External Links may be more useful.".
- Backpropagation wikiPageExternalLink neuralNetworks.html.
- Backpropagation wikiPageExternalLink bpnn.py.
- Backpropagation wikiPageExternalLink Learning_and_Neural_Networks.
- Backpropagation wikiPageExternalLink artificial-intelligence-neural-network-backpropagation.
- Backpropagation wikiPageExternalLink backprop.html.
- Backpropagation wikiPageExternalLink BackProp1.
- Backpropagation wikiPageExternalLink jj658979.aspx.
- Backpropagation wikiPageExternalLink K7.pdf.
- Backpropagation wikiPageExternalLink index.html.html.
- Backpropagation wikiPageExternalLink BackPropagationNeuralNet.aspx.
- Backpropagation wikiPageExternalLink BP.aspx.
- Backpropagation wikiPageExternalLink backprop.pdf.
- Backpropagation wikiPageExternalLink node37.html.
- Backpropagation wikiPageExternalLink into-to-neural-networks.
- Backpropagation wikiPageID "1360091".
- Backpropagation wikiPageRevisionID "605522756".
- Backpropagation hasPhotoCollection Backpropagation.
- Backpropagation subject Category:Articles_with_example_pseudocode.
- Backpropagation subject Category:Machine_learning_algorithms.
- Backpropagation subject Category:Neural_networks.
- Backpropagation type Abstraction100002137.
- Backpropagation type Communication100033020.
- Backpropagation type ComputerArchitecture106725249.
- Backpropagation type Description106724763.
- Backpropagation type Message106598915.
- Backpropagation type NeuralNetwork106725467.
- Backpropagation type NeuralNetworks.
- Backpropagation type Specification106725067.
- Backpropagation type Statement106722453.
- Backpropagation comment "Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks. From a desired output, the network learns from many inputs, similar to the way a child learns to identify a dog from examples of dogs.It is a supervised learning method, and is a generalization of the delta rule. It requires a dataset of the desired output for many inputs, making up the training set.".
- Backpropagation label "Backpropagation".
- Backpropagation label "Backpropagation".
- Backpropagation label "Propagación hacia atrás".
- Backpropagation label "Propagacja wsteczna".
- Backpropagation label "Rétropropagation du gradient".
- Backpropagation label "Метод обратного распространения ошибки".
- Backpropagation label "الانتشار الخلفي".
- Backpropagation label "バックプロパゲーション".
- Backpropagation label "反向传播算法".
- Backpropagation sameAs Backpropagation.
- Backpropagation sameAs Propagación_hacia_atrás.
- Backpropagation sameAs Rétropropagation_du_gradient.
- Backpropagation sameAs バックプロパゲーション.
- Backpropagation sameAs 오차역전파법.
- Backpropagation sameAs Propagacja_wsteczna.
- Backpropagation sameAs m.04wmwt.
- Backpropagation sameAs Q798503.
- Backpropagation sameAs Q798503.
- Backpropagation sameAs Backpropagation.
- Backpropagation wasDerivedFrom Backpropagation?oldid=605522756.
- Backpropagation isPrimaryTopicOf Backpropagation.