Matches in DBpedia 2014 for { <http://dbpedia.org/resource/Almeida–Pineda_recurrent_backpropagation> ?p ?o. }
Showing items 1 to 11 of
11
with 100 items per page.
- Almeida–Pineda_recurrent_backpropagation abstract "Almeida–Pineda recurrent backpropagation is an extension to the backpropagation algorithm that is applicable to recurrent neural networks. It is a type of supervised learning.A recurrent neural network for this algorithm consists of some input units, some output units and eventually some hidden units.For a given set of (input, target) states, the network is trained to settle into a stable activation state with the output units in the target state, based on a given input state clamped on the input units.".
- Almeida–Pineda_recurrent_backpropagation wikiPageID "27141012".
- Almeida–Pineda_recurrent_backpropagation wikiPageRevisionID "569339435".
- Almeida–Pineda_recurrent_backpropagation subject Category:Machine_learning_algorithms.
- Almeida–Pineda_recurrent_backpropagation subject Category:Neuroscience.
- Almeida–Pineda_recurrent_backpropagation comment "Almeida–Pineda recurrent backpropagation is an extension to the backpropagation algorithm that is applicable to recurrent neural networks.".
- Almeida–Pineda_recurrent_backpropagation label "Almeida–Pineda recurrent backpropagation".
- Almeida–Pineda_recurrent_backpropagation sameAs Almeida%E2%80%93Pineda_recurrent_backpropagation.
- Almeida–Pineda_recurrent_backpropagation sameAs Q4733753.
- Almeida–Pineda_recurrent_backpropagation sameAs Q4733753.
- Almeida–Pineda_recurrent_backpropagation wasDerivedFrom Almeida–Pineda_recurrent_backpropagation?oldid=569339435.