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		Accelerator
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		Constant
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		Generator
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		Full Train Step
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		Eval Step
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		Train Step
		UpdatedOctober 30, 2025		
 Get all “lda_coeff”
Description
Gets the loss derivative attenuation coefficient of all layers contained in the model.
 
			Input parameters
 Model in : model architecture.
 Model in : model architecture.
Output parameters
 Model out : model architecture.
 Model out : model architecture.
 lda_coeff_array : array
 lda_coeff_array : array
 index : integer, index of layer.
 index : integer, index of layer.
 name : string, name of layer.
 name : string, name of layer.
 lda_coeff : float, loss derivative attenuation coefficient value.
 lda_coeff : float, loss derivative attenuation coefficient value.
 
			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 Deep Learning library to run it).
			Using the βGet All lda_coeffβ function
 
			1 – Define Graph
			We define the graph with one input and two Dense layers named Dense1 and Dense2. We set the Dense1 layer with a “lda_coeff” equal to 2 and the Dense2 layer with a “lda_coeff” equal to 5.
2 – Get Function
We use the “Get All lda_coeff” function to get the value of this parameter for all layers in the model.
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