multilayer perceptron (MLP)

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:model gptkb:convolutional_neural_network
gptkbp:canBe	gptkb:dictionary regression
gptkbp:canBeTrainedWith	gradient descent stochastic gradient descent
gptkbp:canUseActivationFunction	gptkb:ReLU sigmoid tanh
gptkbp:distinctFrom	gptkb:convolutional_neural_network recurrent neural network
gptkbp:hasApplication	speech recognition diagnosis financial forecasting image recognition
gptkbp:hasComponent	hidden layer input layer output layer
https://www.w3.org/2000/01/rdf-schema#label	multilayer perceptron (MLP)
gptkbp:isUniversalApproximator	true
gptkbp:limitation	vanishing gradient problem cannot model sequential data prone to overfitting
gptkbp:parameter	weights biases
gptkbp:popularizedBy	gptkb:Geoffrey_Hinton
gptkbp:requires	labeled data
gptkbp:startYear	1958
gptkbp:type	gptkb:feedforward_neural_network
gptkbp:usedIn	data compression deep learning function approximation pattern recognition supervised learning time series prediction feature extraction
gptkbp:uses	backpropagation activation function
gptkbp:wasFirstDescribedBy	gptkb:Frank_Rosenblatt
gptkbp:bfsParent	gptkb:feedforward_neural_network
gptkbp:bfsLayer	6