Méthode | Description | |
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Create ( numl.Supervised.NeuralNetwork.Network network, int examples, int features, double learningRate, double lambda, int maxIterations, object parameters = null ) : |
Creates a new Network Properties object for use in training a neural network model.
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NetworkTrainingProperties ( object>.Dictionary |
Initializes a new instance of the NetworkTrainingProperties class. Optional custom properties used in training.
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this ( string name ) : object |
Gets or sets the specified parameter for use in training.
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public static Create ( numl.Supervised.NeuralNetwork.Network network, int examples, int features, double learningRate, double lambda, int maxIterations, object parameters = null ) : |
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network | numl.Supervised.NeuralNetwork.Network | Network being optimized. |
examples | int | Number of training examples. |
features | int | Number of features in the training examples. |
learningRate | double | Learning rate. |
lambda | double | Lambda (weight decay). |
maxIterations | int | Maximum number of iterations. |
parameters | object | Optional parameters object used when training networks.
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Résultat |
public NetworkTrainingProperties ( object>.Dictionary |
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parameters | object>.Dictionary | |
Résultat | System |