AIExplainer
Deep Learning Intermediate

parameter update

The operation of adjusting a model's parameters during training, typically within a single iteration of gradient descent.

The operation of adjusting a model's parameters during training, typically within a single iteration of gradient descent.

Practitioners refer to parameter update when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.