Optimizer Step

Optimizer Step

Graiphic · 2025-09-04

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

Description

Updates the model’s weights using the current gradients and the chosen optimization algorithm.

Documentation illustration (illustration unavailable in the archive).

Input parameters

Training in : object, training session.

Output parameters

Training out : object, 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).