Alle Klassen und Schnittstellen

Klasse	Beschreibung
Block<H,N>	The Transformer Bock class containing a mha and multiple mlps.
ChartDisplay	A simple Chart display class
Connection	A class used to connect two neurons by making one the source neuron and the other one the neuron containing the connection
Dataset	Container class for a Dataset
DatasetReader	Contains all Dataset related static methods
DecoderTransformer<N>	The class for a Decoder-Only Transformer, used for generative tasks
DeepNetwork	An object class for DeepNetwork objects
EDHead	The Encoder-Decoder Head class
Embedding	Record class for Transformer intern data.
EvolutionNetwork	An object class for EvolutionNetworks
FFNetwork	The abstract class for FFNeuralNetworks
Head	The Decoder and Encoder Head Object class
Layer	Record class for Neurons
Main	Just a testing class
MultiHeadAttention<H>	A container class for Heads
Network
Neuron	The class of Neurons used in the Networks
Normalization	A class for Sub-Layer normalisation, it stores weights and biases.
S2STransformer
Sequence	A container class for a transformer internal Embedding-Sequence
Token	A record class for a token, used to construct a transformer internal embedding.
Trainer	A class containing all network training related static methods