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By turning LatentVariableLayer into a DistributionLambda, it could return the prior or posterior as appropriate (depending on training mode indicator).
(Note: this would require moving the composition with inputs (through addition or concatenation) out of the LatentVariableLayer again.)
The text was updated successfully, but these errors were encountered:
By turning
LatentVariableLayer
into a DistributionLambda, it could return the prior or posterior as appropriate (depending ontraining
mode indicator).(Note: this would require moving the composition with inputs (through addition or concatenation) out of the LatentVariableLayer again.)
The text was updated successfully, but these errors were encountered: