Mono Loss Input 1D

Description

Execute forward with 1D Float Data (Inference Session).

Input parameters

 Inference in : object, inference session.
1D Input Data : array, 1D array of data with any type : integers (signed/unsigned), floats, doubles, booleans, or strings.

Output parameters

 Inference out : object, inference 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).