Concept information
Término preferido
neural networks model
Definición
- Computational model that consists of several processing elements that receive inputs and deliver outputs based on their predefined activation functions. (Science Direct)
Concepto genérico
Conceptos específicos
- attention model
- autoencoder
- Boltzmann machine
- capsule neural network
- convolutional neural network
- deep convolutional neural network
- deep neural network
- doc2vec
- end-to-end neural MT system
- fastText algorithm
- feed-forward neural network
- generative adversarial network
- graph attention network
- graph neural network
- joint neural network model
- neural network architecture
- neuron
- node2vec
- open neural network exchange
- Perceptron
- recurrent neural network
- self-organizing map
- siamese neural network
- simple recurrent neural network
- spiking neural network
- Starspace
- student model
- teacher model
- Top2Vec
- transformer
- universal sentence encoder
- Word2Vec
Etiquetas alternativas
- ANN
- artificial neural network
- connectionist model
Contexto(s) definitorio(s)
- Artificial neural networks (ANNs) are powerful computational models that are able to implicitly learn syntactic and semantic features necessary for a variety of natural language tasks. (Kann, Warstadt, Williams & Bowman, 2019)
Ejemplo
- An artificial neural network (ANN) with multiple hidden layers also called a Deep Neural Network (DNN) try to mimic the deep architecture of the brain and it is believed to perform better than shallow architectures such as logistic regression models and ANNs without hidden units. (Liu & Inkpen, 2015)
- Classification can also be done within connectionist models. (Weng, 1991)
- Given the computational cost of computing n-gram probabilities with neural network models a solution is to resort to a two-pass approach: the first pass uses a conventional system to produce a k-best list (the k most likely hypotheses); in the second pass probabilities are computed by the SOUL models for each hypothesis and added as new features. (Do, Herrmann, Niehues, Allauzen, Yvon & Waibel, 2014)
- One artificial neural network in which connections between the neuron units do not form a cycle is a feed-forward neural network (FNN). (Talukdar, Sarma & Bhuyan, 2023)
- We implemented an artificial neural network with a single hidden layer composed of 500 nodes. (Badgett & Huang, 2016)
En otras lenguas
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francés
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ANN
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modèle connexionniste
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réseau de neurones artificiel
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réseau de neurones artificiels
URI
http://data.loterre.fr/ark:/67375/8LP-FZXXSFHX-G
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