Output Train

Output Train

Description

Setup and add the output layer into the model during the definition graph step. Type : polymorphic.

 

Input parameters

 

index : integer, position of the output in the graph. This is used only if the Runtime → Output Data VI.
 Parameters : cluster,

dtype : enum, data type of the input tensor.
 Loss : cluster, measures the difference between the model’s predictions and the expected values, helping guide the learning process.

 

Output parameters

 

Model out : model architecture.
output name : string, name assigned to the output in the graph.

Dimension

Input shape

Input tensor (of any rank).

 

Output shape

Same shape as input.