Optimization · Level 2 of 5
Optimizer
An algorithm that determines how model parameters are updated.
Different optimizers use gradient history and scaling in different ways.
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Optimizer. An algorithm that determines how model parameters are updated. Different optimizers use gradient history and scaling in different ways. For example: A training loop delegates weight changes to an update rule.
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This helps you understand what parameter updates are trying to improve and when they can fail.
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