SGD

SGD

Graiphic · 2025-07-24

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

Description

Gradient descent (with momentum) optimizer. Type : polymorphic.

Documentation illustration (illustration unavailable in the archive).

Input parameters

Model in : model architecture.
learning rate : float, the learning rate.

Output parameters

Model out : model architecture.

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).
Documentation illustration (illustration unavailable in the archive).