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API
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- Dense
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- Dense
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- Dense
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- PReLU 2D
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- PReLU 2D
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- Add
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- AlphaDropout
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- Resume
- Accuracy
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- Specificity
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- Resume
- Constant
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Updated
Backward
Description
Execute the backward pass of the model (all layers).
Input parameters
Model in : model architecture.
Output parameters
Model out : model architecture.
input_loss : array
name : string, name of layer.
index : integer, index of layer.
dimension : enum, dimension of the loss derivative.
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- 2D Loss Derivate
- 3D Loss Derivate
- 4D Loss Derivate
- 5D Loss Derivate
- 6D Loss Derivate
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shape : array, shape of layer.
data : variant, output layer predictions.
model_informations : cluster
Model Name : string, name of model.
Execution Time : integer, execution time of the backward.
Device : enum, device where the process is executed.
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- Native LabVIEW
- GPU
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Example
All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install HAIBAL library to run it).
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