Uses of Class
org.ojalgo.ann.NetworkTrainer
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Packages that use NetworkTrainer Package Description org.ojalgo.ann -
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Uses of NetworkTrainer in org.ojalgo.ann
Methods in org.ojalgo.ann that return NetworkTrainer Modifier and Type Method Description NetworkTrainerNetworkTrainer. activator(int layer, ArtificialNeuralNetwork.Activator activator)Deprecated.UseNetworkBuilderandNetworkBuilder.layer(int, Activator)instead.NetworkTrainerNetworkTrainer. activators(ArtificialNeuralNetwork.Activator activator)Deprecated.UseNetworkBuilderandNetworkBuilder.layer(int, Activator)instead.NetworkTrainerNetworkTrainer. activators(ArtificialNeuralNetwork.Activator... activators)Deprecated.UseNetworkBuilderandNetworkBuilder.layer(int, Activator)instead.NetworkTrainerNetworkTrainer. bias(int layer, int output, double bias)static NetworkTrainerArtificialNeuralNetwork. builder(int numberOfInputNodes, int... nodesPerCalculationLayer)Deprecated.UseArtificialNeuralNetwork.builder(int)insteadstatic NetworkTrainerArtificialNeuralNetwork. builder(PhysicalStore.Factory<java.lang.Double,?> factory, int numberOfInputNodes, int... nodesPerCalculationLayer)Deprecated.NetworkTrainerNetworkTrainer. dropouts()NetworkTrainerNetworkTrainer. error(ArtificialNeuralNetwork.Error error)NetworkTrainerNetworkTrainer. lasso(double factor)L1 lasso regularisationNetworkTrainerArtificialNeuralNetwork. newTrainer()With batch size 1NetworkTrainerArtificialNeuralNetwork. newTrainer(int batchSize)Only 1 trainer at the time.NetworkTrainerNetworkTrainer. rate(double rate)NetworkTrainerNetworkTrainer. ridge(double factor)L2 ridge regularisationNetworkTrainerNetworkTrainer. weight(int layer, int input, int output, double weight)
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