configuration
The process of assigning the initial property values used to train a model, including: hyperparameters such as: - learning rate - iterations - optimizer - loss function In machine learning projects, c
Plain English Explanation
The process of assigning the initial property values used to train a model, including: hyperparameters such as: - learning rate - iterations - optimizer - loss function In machine learning projects, configuration can be done through a special configuration file or using configuration libraries such as the following:
How is it used?
Practitioners refer to configuration when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.