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Weights resume

ADD

In this section you will find a list for add the weights data.

INDEX

 ICONSRESUME
PReLU 2DAdds the weight of the PReLU2D layer to the weights table.
PReLU 3DAdds the weight of the PReLU3D layer to the weights table.
PReLU 4DAdds the weight of the PReLU4D layer to the weights table.
PReLU 5DAdds the weight of the PReLU5D layer to the weights table.
AdditiveAttentionAdds the weight of the AdditiveAttention layer to the weights table.
AttentionAdds the weight of the Attention layer to the weights table.
MultiHeadAttentionAdds the weights of the MultiHeadAttention layer to the weights table.
Conv1DAdds the weights of the Conv1D layer to the weights table.
Conv2DAdds the weights of the Conv2D layer to the weights table.
Conv3DAdds the weights of the Conv3D layer to the weights table.
ConvLSTM1DAdds the weights of the ConvLSTM1D layer to the weights table.
ConvLSTM2DAdds the weights of the ConvLSTM2D layer to the weights table.
ConvLSTM3DAdds the weights of the ConvLSTM3D layer to the weights table.
Conv1DTransposeAdds the weights of the Conv1DTranspose layer to the weights table.
Conv2DTransposeAdds the weights of the Conv2DTranspose layer to the weights table.
Conv3DTransposeAdds the weights of the Conv3DTranspose layer to the weights table.
DepthwiseConv2DAdds the weights of the DepthwiseConv2D layer to the weights table.
SeparableConv1DAdds the weights of the SeparableConv1D layer to the weights table.
SeparableConv2DAdds the weights of the SeparableConv2D layer to the weights table.
DenseAdds the weights of the Dense layer to the weights table.
EmbeddingAdds the weight of the Embedding layer to the weights table.
BatchNormalizationAdds the weights of the BatchNormalization layer to the weights table.
LayerNormalizationAdds the weights of the LayerNormalization layer to the weights table.
BidirectionalAdds the weights of the Bidirectional layer to the weights table.
GRUAdds the weights of the GRU layer to the weights table.
LSTMAdds the weights of the LSTM layer to the weights table.
SimpleRNNAdds the weights of the SimpleRNN layer to the weights table.

NAME

 ICONSRESUME
PReLU 2DAdds the weight of the PReLU2D layer to the weights table.
PReLU 3DAdds the weight of the PReLU3D layer to the weights table.
PReLU 4DAdds the weight of the PReLU4D layer to the weights table.
PReLU 5DAdds the weight of the PReLU5D layer to the weights table.
AdditiveAttentionAdds the weight of the AdditiveAttention layer to the weights table.
AttentionAdds the weight of the Attention layer to the weights table.
MultiHeadAttentionAdds the weights of the MultiHeadAttention layer to the weights table.
Conv1DAdds the weights of the Conv1D layer to the weights table.
Conv2DAdds the weights of the Conv2D layer to the weights table.
Conv3DAdds the weights of the Conv3D layer to the weights table.
ConvLSTM1DAdds the weights of the ConvLSTM1D layer to the weights table.
ConvLSTM2DAdds the weights of the ConvLSTM2D layer to the weights table.
ConvLSTM3DAdds the weights of the ConvLSTM3D layer to the weights table.
Conv1DTransposeAdds the weights of the Conv1DTranspose layer to the weights table.
Conv2DTransposeAdds the weights of the Conv2DTranspose layer to the weights table.
Conv3DTransposeAdds the weights of the Conv3DTranspose layer to the weights table.
DepthwiseConv2DAdds the weights of the DepthwiseConv2D layer to the weights table.
SeparableConv1DAdds the weights of the SeparableConv1D layer to the weights table.
SeparableConv2DAdds the weights of the SeparableConv2D layer to the weights table.
DenseAdds the weights of the Dense layer to the weights table.
EmbeddingAdds the weight of the Embedding layer to the weights table.
BatchNormalizationAdds the weights of the BatchNormalization layer to the weights table.
LayerNormalizationAdds the weights of the LayerNormalization layer to the weights table.
BidirectionalAdds the weights of the Bidirectional layer to the weights table.
GRUAdds the weights of the GRU layer to the weights table.
LSTMAdds the weights of the LSTM layer to the weights table.
SimpleRNNAdds the weights of the SimpleRNN layer to the weights table.

FORMAT

In this section you will find a list for formatting the weights data.

 ICONSRESUME
DenseReturns the Dense layer weights.
AdditiveAttentionReturns the AdditiveAttention layer weights.
AttentionReturns the Attention layer weights.
MultiHeadAttentionReturns the MultiHeadAttention layer weights.
BatchNormalizationReturns the BatchNormalization layer weights.
LayerNormalizationReturns the LayerNormalization layer weights.
BidirectionalReturns the Bidirectional layer weights.

GRU

Returns the GRU layer weights.
LSTMReturns the LSTM layer weights.
SimpleRNNReturns the SimpleRNN layer weights.
Conv1DReturns the Conv1D layer weights.
Conv2DReturns the Conv2D layer weights.
Conv3DReturns the Conv3D layer weights.
Conv1DTransposeReturns the Conv1DTranspose layer weights.​
Conv2DTransposeReturns the Conv2DTranspose layer weights.​
Conv3DTransposeReturns the Conv3DTranspose layer weights.​
ConvLSTM1DReturns the ConvLSTM1D layer weights.
ConvLSTM2DReturns the ConvLSTM2D layer weights.
ConvLSTM3DReturns the ConvLSTM3D layer weights.
DepthwiseConv2DReturns the DepthwiseConv2D layer weights.
SeparableConv1DReturns the SeparableConv1D layer weights.
SeparableConv2DReturns the SeparableConv2D layer weights.
EmbeddingReturns the Embedding layer weights.
PReLU 2DReturns the PReLU2D layer weights.
PReLU 3DReturns the PReLU3D layer weights.
PReLU 4DReturns the PReLU4D layer weights.
PReLU 5DReturns the PReLU5D layer weights.

GET WEIGHTS

In this section you will find a list for get type def of the layer weight.

INDEX

 ICONSRESUME
DenseGets the weights of the Dense layer selected by the index.
EmbeddingGets the weights of the Embedding layer selected by the index.
AdditiveAttentionGets the weights of the AdditiveAttention layer selected by the index.
AttentionGets the weights of the Attention layer selected by the index.
MultiHeadAttentionGets the weights of the MultiHeadAttention layer selected by the index.
Conv1DGets the weights of the Conv1D layer selected by the index.
Conv2DGets the weights of the Conv2D layer selected by the index.
Conv3DGets the weights of the Conv3D layer selected by the index.
ConvLSTM1DGets the weights of the ConvLSTM1D layer selected by the index.
ConvLSTM2DGets the weights of the ConvLSTM2D layer selected by the index.
ConvLSTM3DGets the weights of the ConvLSTM3D layer selected by the index.
Conv1DTransposeGets the weights of the Conv1DTranspose layer selected by the index.
Conv2DTransposeGets the weights of the Conv2DTranspose layer selected by the index.
Conv3DTransposeGets the weights of the Conv3DTranspose layer selected by the index.
DepthwiseConv2DGets the weights of the DepthwiseConv2D layer selected by the index.
SeparableConv1DGets the weights of the SeparableConv1D layer selected by the index.
SeparableConv2DGets the weights of the SeparableConv2D layer selected by the index.
BatchNormalizationGets the weights of the BatchNormalization layer selected by the index.
LayerNormalizationGets the weights of the LayerNormalization layer selected by the index.
PReLU 2DGets the weights of the PReLU2D selected by the index.
PReLU 3DGets the weights of the PReLU3D selected by the index.
PReLU 4DGets the weights of the PReLU4D selected by the index.
PReLU 5DGets the weights of the PReLU5D selected by the index.
BidirectionalGets the weights of the Bidirectional layer selected by the index.
GRUGets the weights of the GRU selected by the index.
LSTMGets the weights of the LSTM layer selected by the index.
RNN (GRU)Gets the weights of the RNN selected by the index.
RNN (LSTM)Gets the weights of the RNN selected by the index.
RNN (SimpleRNN)Gets the weights of the RNN selected by the index.
SimpleRNNGets the weights of the SimpleRNN selected by the index.

NAME

 ICONSRESUME
DenseGets the weights of the Dense layer selected by the name.
EmbeddingGets the weights of the Embedding layer selected by the name.
AdditiveAttentionGets the weights of the AdditiveAttention layer selected by the name.
AttentionGets the weights of the Attention layer selected by the name.
MultiHeadAttentionGets the weights of the MultiHeadAttention layer selected by the name.
Conv1DGets the weights of the Conv1D layer selected by the name.
Conv2DGets the weights of the Conv2D layer selected by the name.
Conv3DGets the weights of the Conv3D layer selected by the name.
ConvLSTM1DGets the weights of the ConvLSTM1D layer selected by the name.
ConvLSTM2DGets the weights of the ConvLSTM2D layer selected by the name.
ConvLSTM3DGets the weights of the ConvLSTM3D layer selected by the name.
Conv1DTransposeGets the weights of the Conv1DTranspose layer selected by the name.
Conv2DTransposeGets the weights of the Conv2DTranspose layer selected by the name.
Conv3DTransposeGets the weights of the Conv3DTranspose layer selected by the name.
DepthwiseConv2DGets the weights of the DepthwiseConv2D layer selected by the name.
SeparableConv1DGets the weights of the SeparableConv1D layer selected by the name.
SeparableConv2DGets the weights of the SeparableConv2D layer selected by the name.
BatchNormalizationGets the weights of the BatchNormalization layer selected by the name.
LayerNormalizationGets the weights of the LayerNormalization layer selected by the name.
PReLU 2DGets the weights of the PReLU2D selected by the name.
PReLU 3DGets the weights of the PReLU3D selected by the name.
PReLU 4DGets the weights of the PReLU4D selected by the name.
PReLU 5DGets the weights of the PReLU5D selected by the name.
BidirectionalGets the weights of the Bidirectional layer selected by the name.
GRUGets the weights of the GRU selected by the name.
LSTMGets the weights of the LSTM layer selected by the name.
RNN (GRU)Gets the weights of the RNN selected by the name.
RNN (LSTM)Gets the weights of the RNN selected by the name.
RNN (SimpleRNN)Gets the weights of the RNN selected by the name.
SimpleRNNGets the weights of the SimpleRNN selected by the name.

SET WEIGHTS

In this section you will find a list for set the layer weight.

INDEX

 ICONSRESUME
DenseDefines the weights of the Dense layer selected by the index.
EmbeddingDefines the weight of the Embedding layer selected by the index.
AdditiveAttentionDefines the weight of the AdditiveAttention layer selected by the index.
AttentionDefines the weight of the Attention layer selected by the index.
MultiHeadAttentionDefines the weights of the MultiHeadAttention layer selected by the index.
Conv1DDefines the weights of the Conv1D layer selected by the index.
Conv2DDefines the weights of the Conv2D layer selected by the index.
Conv3DDefines the weights of the Conv3D layer selected by the index.
ConvLSTM1DDefines the weights of the ConvLSTM1D layer selected by the index.
ConvLSTM2DDefines the weights of the ConvLSTM2D layer selected by the index.
ConvLSTM3DDefines the weights of the ConvLSTM3D layer selected by the index.
Conv1DTransposeDefines the weights of the Conv1DTranspose layer selected by the index.
Conv2DTransposeDefines the weights of the Conv2DTranspose layer selected by the index.
Conv3DTransposeDefines the weights of the Conv3DTranspose layer selected by the index.
DepthwiseConv2DDefines the weights of the DepthwiseConv2D layer selected by the index.
SeparableConv1DDefines the weights of the SeparableConv1D layer selected by the index.
SeparableConv2DDefines the weights of the SeparableConv2D layer selected by the index.
BatchNormalizationDefines the weights of the BatchNormalization layer selected by the index.
LayerNormalizationDefines the weights of the LayerNormalization layer selected by the index.
PReLU 2DDefines the weight of the PReLU2D layer selected by the index.
PReLU 3DDefines the weight of the PReLU3D layer selected by the index.
PReLU 4DDefines the weight of the PReLU4D layer selected by the index.
PReLU 5DDefines the weight of the PReLU5D layer selected by the index.
BidirectionalDefines the weights of the Bidirectional layer selected by the index.
GRUDefines the weights of the GRU layer selected by the index.
LSTMDefines the weights of the LSTM layer selected by the index.
RNN (GRU)Defines the weights of the RNN layer selected by the index.
RNN (LSTM)Defines the weights of the RNN layer selected by the index.
RNN (SimpleRNN)Defines the weights of the RNN layer selected by the index.
SimpleRNNDefines the weights of the SimpleRNN layer selected by the index.

NAME

 ICONSRESUME
DenseDefines the weights of the Dense layer selected by the name.
EmbeddingDefines the weight of the Embedding layer selected by the name.
AdditiveAttentionDefines the weight of the AdditiveAttention layer selected by the name.
AttentionDefines the weight of the Attention layer selected by the name.
MultiHeadAttentionDefines the weights of the MultiHeadAttention layer selected by the name.
Conv1DDefines the weights of the Conv1D layer selected by the name.
Conv2DDefines the weights of the Conv2D layer selected by the name.
Conv3DDefines the weights of the Conv3D layer selected by the name.
ConvLSTM1DDefines the weights of the ConvLSTM1D layer selected by the name.
ConvLSTM2DDefines the weights of the ConvLSTM2D layer selected by the name.
ConvLSTM3DDefines the weights of the ConvLSTM3D layer selected by the name.
Conv1DTransposeDefines the weights of the Conv1DTranspose layer selected by the name.
Conv2DTransposeDefines the weights of the Conv2DTranspose layer selected by the name.
Conv3DTransposeDefines the weights of the Conv3DTranspose layer selected by the name.
DepthwiseConv2DDefines the weights of the DepthwiseConv2D layer selected by the name.
SeparableConv1DDefines the weights of the SeparableConv1D layer selected by the name.
SeparableConv2DDefines the weights of the SeparableConv2D layer selected by the name.
BatchNormalizationDefines the weights of the BatchNormalization layer selected by the name.
LayerNormalizationDefines the weights of the LayerNormalization layer selected by the name.
PReLU 2DDefines the weight of the PReLU2D layer selected by the name.
PReLU 3DDefines the weight of the PReLU3D layer selected by the name.
PReLU 4DDefines the weight of the PReLU4D layer selected by the name.
PReLU 5DDefines the weight of the PReLU5D layer selected by the name.
BidirectionalDefines the weights of the Bidirectional layer selected by the name.
GRUDefines the weights of the GRU layer selected by the name.
LSTMDefines the weights of the LSTM layer selected by the name.
RNN (GRU)Defines the weights of the RNN layer selected by the name.
RNN (LSTM)Defines the weights of the RNN layer selected by the name.
RNN (SimpleRNN)Defines the weights of the RNN layer selected by the name.
SimpleRNNDefines the weights of the SimpleRNN layer selected by the name.

TYPEDEF

In this section, you’ll find a list of RNN cell layer weight definition types. This VI is adapted for “Set or Get individual bidirectional weights”.

 ICONSRESUME
GRUReturns the type def of the GRU layer weights.
LSTMReturns the type def of the LSTM layer weights.
SimpleRNNReturns the type def of the SimpleRNN layer weights.
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