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T

Token - Record Class in me.damoebe.architectures.transformer.embedding

A record class for a token, used to construct a transformer internal embedding.

Token(List<Double>) - Constructor for record class me.damoebe.architectures.transformer.embedding.Token

Creates an instance of a Token record class.

toString() - Method in record class me.damoebe.architectures.mlp.structure.Layer

Returns a string representation of this record class.

toString() - Method in record class me.damoebe.architectures.transformer.embedding.Embedding

Returns a string representation of this record class.

toString() - Method in record class me.damoebe.architectures.transformer.embedding.Token

Returns a string representation of this record class.

train(boolean, List<FFNetwork>, Dataset, int, int) - Static method in class me.damoebe.architectures.mlp.test.Trainer

Main training method

train(List<Double>, List<Double>) - Method in class me.damoebe.architectures.mlp.DeepNetwork

Trains the network with one set of data using backpropagation.

train(List<Double>, List<Double>) - Method in class me.damoebe.architectures.mlp.EvolutionNetwork

train(List<Double>, List<Double>) - Method in class me.damoebe.architectures.mlp.FFNetwork

The abstract train function

train(List<Double>, List<Double>) - Method in class me.damoebe.architectures.Network

train(List<Double>, List<Double>) - Method in class me.damoebe.architectures.transformer.DecoderTransformer

train(List<Double>, List<Double>) - Method in class me.damoebe.architectures.transformer.S2STransformer

Trainer - Class in me.damoebe.architectures.mlp.test

A class containing all network training related static methods

Trainer() - Constructor for class me.damoebe.architectures.mlp.test.Trainer

transpose(double[][]) - Static method in class me.damoebe.architectures.transformer.embedding.Matrix

Transposes a matrix

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