## Uses of Class
org.apache.mahout.classifier.mlp.NeuralNetwork

Packages that use NeuralNetwork
org.apache.mahout.classifier.mlp

Uses of NeuralNetwork in org.apache.mahout.classifier.mlp

Subclasses of NeuralNetwork in org.apache.mahout.classifier.mlp
`class` `MultilayerPerceptron` A Multilayer Perceptron (MLP) is a kind of feed-forward artificial neural network, which is a mathematical model inspired by the biological neural network.

Methods in org.apache.mahout.classifier.mlp that return NeuralNetwork
`NeuralNetwork` `NeuralNetwork.setCostFunction(String costFunction)` Set the cost function for the model.
`NeuralNetwork` `NeuralNetwork.setLearningRate(double learningRate)` Set the degree of aggression during model training, a large learning rate can increase the training speed, but it also decreases the chance of model converge.
`NeuralNetwork` `NeuralNetwork.setMomentumWeight(double momentumWeight)` Set the momentum weight for the model.
`NeuralNetwork` `NeuralNetwork.setRegularizationWeight(double regularizationWeight)` Set the regularization weight.
`NeuralNetwork` `NeuralNetwork.setTrainingMethod(NeuralNetwork.TrainingMethod method)` Set the training method.

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