configuration parameters

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

A machine learning model, neural networek or {[statistical algorithm}} will typically have a set of weights or parrameters that are fitted as part of training. Howver, there are also often higher-order parameters that determine the shape or architecture of the model. This may be simple such as the value of 'k' to use in the k-means algorithm, or more complex such as the number of layers, size of each layer and interconnection geometry in a deep neural network.

Used in Chap. 9: page 118