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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
		UpdatedJanuary 23, 2023		
 Bidirectional
Description
Adds the weights of the Bidirectional layer to the weights table. Type : polymorphic.

Input parameters
 Weights in : array
 Weights in : array
 Β index :Β integer,Β index of layer.
Β index :Β integer,Β index of layer. Β weights :Β variant,Β weights values.
Β weights :Β variant,Β weights values.
 
			 Β index :Β integer,Β index of layer.
Β index :Β integer,Β index of layer. Β layer :Β variant,Β cluster from βgru_weightsβ or βlstm_weightsβ or βsimplernn_weightsβ.
Β layer :Β variant,Β cluster from βgru_weightsβ or βlstm_weightsβ or βsimplernn_weightsβ. Β backward_layer :Β variant,Β cluster from βgru_weightsβ or βlstm_weightsβ or βsimplernn_weightsβ.
Β backward_layer :Β variant,Β cluster from βgru_weightsβ or βlstm_weightsβ or βsimplernn_weightsβ.
Output parameters
 Β Weights out : array
Β Weights out : array
 Β index :Β integer,Β index of layer.
Β index :Β integer,Β index of layer. Β weights :Β variant,Β weights values.
Β weights :Β variant,Β weights values.
 
			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).
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