# Training (machine learning)

> The process of determining the ideal parameters (weights and biases) comprising a model. During training, a system reads in examples and gradually adjusts parameters. Training uses each example anywhere from a few times to billions of times.[^1]

The process of determining the ideal [parameters](https://wiki.g15e.com/pages/Parameter%20(machine%20learning.txt)) (weights and biases) comprising a [model](https://wiki.g15e.com/pages/Model%20(machine%20learning.txt)). During training, a system reads in examples and gradually adjusts parameters. Training uses each example anywhere from a few times to billions of times.[^1]

## Footnotes

[^1]: https://developers.google.com/machine-learning/glossary#training