Mono Loss Input 5D

Description

Execute inference forward with Mono 5D Float Input Data (Academic Training Session).

Input parameters

 Academic Training in : object, academic training session.
5D Input Data : array, 5D array of data with any type : integers (signed/unsigned), floats, doubles, booleans, or strings.

Output parameters

 Academic Training out : object, academic training session.

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).