Scheduler Step

Description

Adjusts the learning rate according to a predefined scheduling policy. Usually called after the optimizer step to modify the step size for future updates.

Input parameters

 

 Academic Training in object, academic training session.

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).
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