Definition
The act of adjusting the configuration settings that control the overall learning process of a model, such as the learning rate or number of layers, to maximize its performance.
In short: The act of adjusting the configuration settings that control the overall learning process of a model, such as the learning rate or number of layers, to maximize its performance.