5D — Deep Learning Toolkit / Runtime / Output / Academic / Train Backward / Mono

Graiphic · 2025-11-03

Public technical reference documentation from Graiphic. For current SOTA installation and toolkit guides, visit the documentation center.

5D

Description

Retrieve Mono 5D Output Data (Bool, Int/UInt, Float, or String) (Academic Training Session). Type : polymorphic.

Input parameters

Academic Training in : object, academic training session.

Output parameters

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

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).