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static function Types()
NOM.js: 4875
Enumeration defining the type of a NOM.ModelNode.Layer.Config object.
: Dexter;
Enumeration defining the type of a NOM.ModelNode.Layer.Config object.
: Dexter;
Config
0
Abstract class representing a high level Ladder model layer. (Ref: NOM.ModelNode.Layer.Config)
Collector
1
Class representing a collector layer, without any dimensional transformation from all the input layers. (Ref: NOM.ModelNode.Layer.Collector)
FullyConnected
2
Class representing a fully connected layer, aka dense layer, etc. (Ref: NOM.ModelNode.Layer.FullyConnected)
Convolution
3
Class representing a 2D convolutional layer, providing auto reshaping of data which are not 2D images. (Ref: NOM.ModelNode.Layer.Convolution)
Deconvolution
4
Class representing a 2D de-convolutional layer. (Ref: NOM.ModelNode.Layer.Deconvolution)
Task
5
Class including different types of task layers. (Ref: NOM.ModelNode.Layer.Task)
Convolution1D
6
A 1D convolutional layer, providing auto reshaping of data which are not 2D images. (Ref: NOM.ModelNode.Layer.Convolution1D )
Deconvolution1D
7
A 1D deconvolutional layer, providing auto reshaping of data which are not 2D images. (Ref: NOM.ModelNode.Layer.Deconvolution1D )
RNN
8
A RNN layer, providing auto reshaping of data which are not 3D data. (Ref: NOM.ModelNode.Layer.RNN )
GRU
9
A GRU layer, providing auto reshaping of data which are not 3D data. (Ref: NOM.ModelNode.Layer.GRU )
LSTM
10
A LSTM layer, providing auto reshaping of data which are not 3D data. (Ref: NOM.ModelNode.Layer.LSTM )
BiRNN
11
A bidirectional RNN layer, providing auto reshaping of data which are not 3D data. (Ref: NOM.ModelNode.Layer.BiRNN )
BiGRU
12
A bidirectional GRU layer, providing auto reshaping of data which are not 3D data. (Ref: NOM.ModelNode.Layer.BiGRU )
BiLSTM
13
A bidirectional LSTM layer, providing auto reshaping of data which are not 3D data. (Ref: NOM.ModelNode.Layer.BiLSTM )
Pool
8
A pooling layer for any incoming shapes. (Ref: NOM.ModelNode.Layers.Pool )