Index
Alle Klassen und Schnittstellen|Alle Packages
G
- generateLayer(int, Layer) - Statische Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
Generates a new layer for the FFNetwork constructor
- generateOutputFor(Sequence[]) - Methode in Klasse me.damoebe.architectures.transformer.mha.MultiHeadAttention
-
Generates an output for a list of inputs(embedding lists).
- generateQKVMatrices(Sequence[]) - Methode in Klasse me.damoebe.architectures.transformer.mha.EDHead
-
Calculates the QKVMatrices based on the decoder and encoder input embeddings.
- generateQKVMatrices(Sequence[]) - Methode in Klasse me.damoebe.architectures.transformer.mha.Head
-
Generates a list of query, key and value matrices based on the heads weights and biases.
- getActivation() - Methode in Klasse me.damoebe.architectures.mlp.structure.Neuron
-
Getter for current Activation
- getConnections() - Methode in Klasse me.damoebe.architectures.mlp.structure.Neuron
-
Getter for connections
- getDelta() - Methode in Klasse me.damoebe.architectures.mlp.structure.Neuron
-
Getter for delta
- getEmbeddingAmount() - Methode in Klasse me.damoebe.architectures.transformer.mha.MultiHeadAttention
-
Getter for the used embedding amount of this MHA.
- getEmbeddingSize() - Methode in Datensatzklasse me.damoebe.architectures.transformer.embedding.Embedding
-
Getter for the size of the data array.
- getEmbeddingSize() - Methode in Klasse me.damoebe.architectures.transformer.mha.MultiHeadAttention
-
Getter for the used embedding size of this MHA.
- getHeads() - Methode in Klasse me.damoebe.architectures.transformer.mha.MultiHeadAttention
-
Getter for the heads stored in the MultiHeadAttention
- getHiddenLayerAmount() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
A Getter for the amount of hidden-layers in this network
- getHiddenLayerSize() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
A Getter for the size of the middle layers size
- getInputEmbeddingAmount() - Methode in Klasse me.damoebe.architectures.transformer.mha.Head
- getInputEmbeddingSize() - Methode in Klasse me.damoebe.architectures.transformer.mha.Head
- getInputs() - Methode in Klasse me.damoebe.datasets.Dataset
- getInputSize() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
A Getter for the size of the first layer's size
- getLayers() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
Getter for the layer-list of this network
- getName() - Methode in Klasse me.damoebe.datasets.Dataset
- getNetworkLoss() - Methode in Klasse me.damoebe.architectures.mlp.DeepNetwork
-
Gets the network loss
- getNetworkLoss() - Methode in Klasse me.damoebe.architectures.mlp.EvolutionNetwork
- getNetworkLoss() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
Gets the network loss
- getOutput() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
Gets all output activations
- getOutput() - Methode in Klasse me.damoebe.architectures.Network
- getOutput() - Methode in Klasse me.damoebe.architectures.transformer.DecoderTransformer
- getOutput() - Methode in Klasse me.damoebe.architectures.transformer.mha.Head
-
Generates an output of this head by using the current attention, which is multiplied with the current value-vectors
- getOutput() - Methode in Klasse me.damoebe.architectures.transformer.S2STransformer
- getOutputFor(Sequence...) - Methode in Klasse me.damoebe.architectures.transformer.Block
-
Gets the output for the inserted input(s) by passing them through the mha module and mlp.
- getOutputSize() - Methode in Klasse me.damoebe.architectures.mlp.FFNetwork
-
A Getter for the size of the last layer's size
- getRandomBias() - Statische Methode in Klasse me.damoebe.architectures.mlp.structure.Connection
- getRandomWeight() - Statische Methode in Klasse me.damoebe.architectures.mlp.structure.Connection
- getRawList() - Methode in Klasse me.damoebe.architectures.transformer.embedding.Sequence
-
Generate a 'raw' Double list for this sequence containing all embedding values
- getSourceNeuron() - Methode in Klasse me.damoebe.architectures.mlp.structure.Connection
-
Getter for the source neuron
- getTargets() - Methode in Klasse me.damoebe.datasets.Dataset
- getWeight() - Methode in Klasse me.damoebe.architectures.mlp.structure.Connection
-
Getter for the weight
Alle Klassen und Schnittstellen|Alle Packages