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Updated
Set Linear Learning Rate Scheduler
Description
Set Linear Learning Rate Scheduler to the Training Session.

Input parameters
Training in : object, training session.
Parameters : cluster
warmup_step_count : integer, number of steps during which the learning rate increases linearly from 0 up to the initial_learning_rate.
total_step_count : integer, total number of training steps for the scheduler. After reaching the initial_learning_rate, the learning rate linearly decays to 0 over the remaining steps.
initial_learning_rate : float, maximum learning rate reached at the end of the warm‑up phase, before the linear decay begins.

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).
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