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ADD TO GRAPH

This VI “add to graph” defines a layer and links it to the other layers of the model.
In this section you’ll find a list of all add to graph layers available.

Β ICONSRESUME
AddSetup and add the add layer into the model during the definition graph step.
AdditiveAttentionSetup and add the additive attention layer into the model during the definition graph step.
AlphaDropoutSetup and add the alpha dropout layer into the model during the definition graph step.
AttentionSetup and add the attention layer into the model during the definition graph step.
AverageSetup and add the average layer into the model during the definition graph step.
AvgPool1DSetup and add the average pooling 1D layer into the model during the definition graph step.
AvgPool2DSetup and add the average pooling 2D layer into the model during the definition graph step.
AvgPool3DSetup and add the average pooling 3D layer into the model during the definition graph step.
BatchNormalizationSetup and add the batch normalization layer into the model during the definition graph step.
BidirectionalSetup and add the bidirectional layer into the model during the definition graph step.
ConcatenateSetup and add the concatenate layer into the model during the definition graph step.
Conv1DSetup and add the convolution 1D layer into the model during the definition graph step.
Conv1DTransposeSetup and add the convolution 1D transpose layer into the model during the definition graph step.
Conv2DSetup and add the convolution 2D layer into the model during the definition graph step.
Conv2DTransposeSetup and add the convolution 2D transpose layer into the model during the definition graph step.
Conv3DSetup and add the convolution 3D layer into the model during the definition graph step.
Conv3DTransposeSetup and add the convolution 3D transpose layer into the model during the definition graph step.
ConvLSTM1DSetup and add the convolution lstm 1D layer into the model during the definition graph step.
ConvLSTM2DSetup and add the convolution lstm 2D layer into the model during the definition graph step.
ConvLSTM3DSetup and add the convolution lstm 3D layer into the model during the definition graph step.
Cropping1DSetup and add the cropping 1D layer into the model during the definition graph step.
Cropping2DSetup and add the cropping 2D layer into the model during the definition graph step.
Cropping3DSetup and add the cropping 3D layer into the model during the definition graph step.
DenseSetup and add the dense layer into the model during the definition graph step.
DepthwiseConv2DSetup and add the depthwise convolution 2D layer into the model during the definition graph step.
DropoutSetup and add the dropout layer into the model during the definition graph step.
EmbeddingSetup and add the embedding layer into the model during the definition graph step.
FlattenSetup and add the flatten layer into the model during the definition graph step.
GaussianDropoutSetup and add the gaussian dropout layer into the model during the definition graph step.
GaussianNoiseSetup and add the gaussian noise layer into the model during the definition graph step.
GlobalAvgPool1DSetup and add the global average pooling 1D layer into the model during the definition graph step.
GlobalAvgPool2DSetup and add the global average pooling 2D layer into the model during the definition graph step.
GlobalAvgPool3DSetup and add the global average pooling 3D layer into the model during the definition graph step.
GlobalMaxPool1DSetup and add the global max pooling 1D layer into the model during the definition graph step.
GlobalMaxPool2DSetup and add the global max pooling 2D layer into the model during the definition graph step.
GlobalMaxPool3DSetup and add the global max pooling 3D layer into the model during the definition graph step.
GRUSetup and add the gru layer into the model during the definition graph step.
InputSetup and add the input layer into the model during the definition graph step.
LayerNormalizationSetup and add the layer normalization layer into the model during the definition graph step.
LSTMSetup and add the lstm layer into the model during the definition graph step.
MaxPool1DSetup and add the max pooling 1D layer into the model during the definition graph step.
MaxPool2DSetup and add the max pooling 2D layer into the model during the definition graph step.
MaxPool3DSetup and add the max pooling 3D layer into the model during the definition graph step.
MultiHeadAttentionSetup and add the multi head attention layer into the model during the definition graph step.
MultiplySetup and add the multiply layer into the model during the definition graph step.
Permute3DSetup and add the permute 3D layer into the model during the definition graph step.
ReshapeSetup and add the reshape layer into the model during the definition graph step.
RNNSetup and add the rnn layer into the model during the definition graph step.
SeparableConv1DSetup and add the separable conv 1D layer into the model during the definition graph step.
SeparableConv2DSetup and add the separable conv 2D layer into the model during the definition graph step.
SimpleRNNSetup and add the simple rnn layer into the model during the definition graph step.
SpatialDropoutSetup and add the spatial dropout layer into the model during the definition graph step.
SubstractSetup and add the substract layer into the model during the definition graph step.
TimeDistributedSetup and add the time distributed layer into the model during the definition graph step.
UpSampling1DSetup and add the up sampling 1D layer into the model during the definition graph step.
UpSampling2DSetup and add the up sampling 2D layer into the model during the definition graph step.
UpSampling3DSetup and add the up sampling 3D layer into the model during the definition graph step.
ZeroPadding1DSetup and add the zero padding 1D layer into the model during the definition graph step.
ZeroPadding2DSetup and add the zero padding 2D layer into the model during the definition graph step.
ZeroPadding3DSetup and add the zero padding 3D layer into the model during the definition graph step.

DEFINE

This VI “define” allows to define a layer. It is most often used when a layer contains another one (see example Bidirectional). ​
In this section you’ll find a list of all define layers available (to use for the TimeDitributed layer).

Β ICONSRESUME
AlphaDropoutDefine the alpha dropout layer according to its parameters.
AvgPool1DDefine the average pooling 1D layer according to its parameters.
AvgPool2DDefine the average pooling 2D layer according to its parameters.
AvgPool3DDefine the average pooling 3D layer according to its parameters.
BatchNormalizationDefine the batch normalization layer according to its parameters.
BidirectionalDefine the bidirectional layer according to its parameters.
Conv1DDefine the convolution 1D layer according to its parameters.
Conv1DTransposeDefine the convolution 1D transpose layer according to its parameters.
Conv2DDefine the convolution 2D layer according to its parameters.
Conv2DTransposeDefine the convolution 2D transpose layer according to its parameters.
Conv3DDefine the convolution 3D layer according to its parameters.
Conv3DTransposeDefine the convolution 3D transpose layer according to its parameters.
Cropping1DDefine the cropping 1D layer according to its parameters.
Cropping2DDefine the cropping 2D layer according to its parameters.
Cropping3DDefine the cropping 3D layer according to its parameters.
DenseDefine the dense layer according to its parameters.
DepthwiseConv2DDefine the depthwise convolution 2D layer according to its parameters.
DropoutDefine the dropout layer according to its parameters.
EmbeddingDefine the embedding layer according to its parameters.
FlattenDefine the flatten layer according to its parameters.
GaussianDropoutDefine the gaussian dropout layer according to its parameters.
GaussianNoiseDefine the gaussian noise layer according to its parameters.
GlobalAvgPool1DDefine the global average pooling 1D layer according to its parameters.
GlobalAvgPool2DDefine the global average pooling 2D layer according to its parameters.
GlobalAvgPool3DDefine the global average pooling 3D layer according to its parameters.
GlobalMaxPool1DDefine the global max pooling 1D layer according to its parameters.
GlobalMaxPool2DDefine the global max pooling 2D layer according to its parameters.
GlobalMaxPool3DDefine the global max pooling 3D layer according to its parameters.
GRUDefine the gru layer according to its parameters.
LayerNormalizationDefine the layer normalization layer according to its parameters.
LSTMDefine the lstm layer according to its parameters.
MaxPool1DDefine the max pooling 1D layer according to its parameters.
MaxPool2DDefine the max pooling 2D layer according to its parameters.
MaxPool3DDefine the max pooling 3D layer according to its parameters.
Permute3DDefine the permute 3D layer according to its parameters.
ReshapeDefine the reshape layer according to its parameters.
RNNDefine the rnn layer according to its parameters.
SeparableConv1DDefine the separable conv 1D layer according to its parameters.
SeparableConv2DDefine the separable conv 2D layer according to its parameters.
SimpleRNNDefine the simple rnn layer according to its parameters.
SpatialDropoutDefine the spatial dropout layer according to its parameters.
UpSampling1DDefine the up sampling 1D layer according to its parameters.
UpSampling2DDefine the up sampling 2D layer according to its parameters.
UpSampling3DDefine the up sampling 3D layer according to its parameters.
ZeroPadding1DDefine the zero padding 1D layer according to its parameters.
ZeroPadding2DDefine the zero padding 2D layer according to its parameters.
ZeroPadding3DDefine the zero padding 3D layer according to its parameters.
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