multilayer perceptron
Matemática
Verbete 1 de 2
substantivo
Contexto: "Examples of types of architecture are: feedforward (aka multilayer perceptron), recurrent (RNN), autoencoder and generative adversarial networks (GAN)."
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Termo equivalente:
Definição: "A feedforward neural architecture composed of successive layers, with at least one hidden layer. Also named Feedforward architecture."
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Fonte: Briot, J. P. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Computing and Applications, 33(1), 39-65.
Definição em português: "Uma 'arquitetura neural feedforward' composta de camadas sucessivas, com pelo menos uma camada oculta. Também chamada de arquitetura Feedforward."
multilayer perceptron
Matemática
Verbete 2 de 2
substantivo
Contexto: "The Automatic Network Designer (AND) for testing 10,000 networks was used (42,43). The performed calculations and a detailed analysis of the literature allowed us to select the best type of neural network architecture. For the discussed case, an MLP (Multilayer Perceptron) network with two hidden layers was selected; i.e., 13 neurons in 1 hidden layer, 20 neurons in the second hidden layer, and 1 neuron at the output layer. For the purposes of training and testing the MLP network, the Ap subset, on the basis of which the neural model was built, was randomly divided into training (U), validation (W), and test (T) sets."
Fonte: Piekutowska, M.; Niedbała, G.; Piskier, T.; Lenartowicz, T.; Pilarski, K.; Wojciechowski, T.; Pilarska, A.A.; Czechowska-Kosacka, A. The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest. A
Fonte: Piekutowska, M.; Niedbała, G.; Piskier, T.; Lenartowicz, T.; Pilarski, K.; Wojciechowski, T.; Pilarska, A.A.; Czechowska-Kosacka, A. The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest. A
Termo equivalente: rede neural perceptron multicamadas
Definição: "A multilayer perceptron is a neural network connecting multiple layers in a directed graph, which means that the signal path through the nodes only goes one way. Each node, apart from the input nodes, has a nonlinear activation function. An MLP uses backpropagation as a supervised learning technique. Since there are multiple layers of neurons, MLP is a deep learning technique. MLP is widely used for solving problems that require supervised learning as well as research into computational neuroscience and parallel distributed processing. Applications include speech recognition, image recognition and machine translation."
Fonte: ROUSE,Margaret: What Does Multilayer Perceptron Mean?, publicado online,março de 2017. disponível em: https://www.techopedia.com/definition/20879/multilayer-perceptron-mlp#:~:text=3ma0%20March%2C%202017-,What%20Does%20Multilayer%20Perceptron%20Mean%3F,the%20input%20and%20output%20layers.
Fonte: ROUSE,Margaret: What Does Multilayer Perceptron Mean?, publicado online,março de 2017. disponível em: https://www.techopedia.com/definition/20879/multilayer-perceptron-mlp#:~:text=3ma0%20March%2C%202017-,What%20Does%20Multilayer%20Perceptron%20Mean%3F,the%20input%20and%20output%20layers.
Definição em português: "Perceptron Multicamadas (PMC ou MLP — Multi Layer Perceptron) é uma rede neural com uma ou mais camadas ocultas com um número indeterminado de neurônios. A camada oculta possui esse nome porque não é possível prever a saída desejada nas camadas intermediárias. Para treinar a rede MLP, o algoritmo comumente utilizado é o de retropropagação (Backpropagation)"