What is a 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
configuration explained in plain English
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:
Example
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.
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