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SGD

Description

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

 

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).
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