Deep Learning Intermediate
parameter update
The operation of adjusting a model's parameters during training, typically within a single iteration of gradient descent.
Plain English Explanation
The operation of adjusting a model's parameters during training, typically within a single iteration of gradient descent.
How is it used?
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.