Index

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update(double, double, String) - Methode in Klasse me.damoebe.architectures.mlp.test.ChartDisplay

Updates the Chart with a pair of data

updateActivation() - Methode in Klasse me.damoebe.architectures.mlp.structure.Neuron

Updates the current activation based on the connections and sigmoid activation function

updateAllActivations() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork

Calls the updatedActivation() function for each neuron in the network

updateAllActivations() - Methode in Klasse me.damoebe.architectures.Network

updateAllActivations() - Methode in Klasse me.damoebe.architectures.transformer.DecoderTransformer

Updates All activations in the transformer as well as the currentOutput

updateAllActivations() - Methode in Klasse me.damoebe.architectures.transformer.S2STransformer

updateAllWeights(double[][]) - Methode in Klasse me.damoebe.architectures.transformer.mha.MultiHeadAttention

Updates All head QKV weights as well as the weights which are used to merge the head matrices

updateBias(double) - Methode in Klasse me.damoebe.architectures.mlp.structure.Neuron

Updates the bias using learningRate and delta

updateLoss(List<Double>) - Methode in Klasse me.damoebe.architectures.mlp.EvolutionNetwork

Updates the current network loss and adds loss to epoch loss list

updateLoss(List<Double>) - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork

Updates the network loss based on a targetActivation list

updateQKVWeights(double[][]) - Methode in Klasse me.damoebe.architectures.transformer.mha.Head

Updates all QKV weights based on delta matrix from MultiHeadAttention weights

updateWeights(double, double, double) - Methode in Klasse me.damoebe.architectures.mlp.structure.Neuron

Updates all connection weights based on delta value, loss, noise and learningRate

B C D E F G H I L M N R S T U W
Alle Klassen und Schnittstellen|Alle Packages