Module containing classes regarding NOM high level layers.
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Module containing classes regarding on configurations handling the merging of higher-dimensioned nodes to the lower-dimensioned core node.
Module including classes on output configurations of an NOM high level model node.
Abstract class representing a high level NOM model layer.
Class representing a collector layer, without any dimensional transformation from all the input layers.
Class representing a fully-connected layer, aka dense layer, etc.
Class representing a convolutional layer.
Class representing a deconvolutional layer.
Class representing a 1D convolutional layer.
Class representing a 1D deconvolutional layer.
Class representing a pooling layer.
Class representing a RNN layer.
Class representing a GRU layer.
Class representing a LSTM layer.
Class representing a bidirectional RNN layer.
Class representing a bidirectional GRU layer.
Class representing a bidirectional LSTM layer.
Module containing classes regarding NOM high level training task.
Enumeration defining the type of a NOM.ModelNode.Layer.Config object.
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