Hyperparameter (machine learning)
id:
hyperparameter-machine-learning-162-6503168
title:
Hyperparameter (machine learning)
text:
In machine learning, a hyperparameter is a parameter, such as the learning rate or choice of optimizer, which specifies details of the learning process, hence the name hyperparameter. This is in contrast to parameters which determine the model itself. An additional contrast is that hyperparameters typically cannot be inferred while fitting the machine to the training set because the objective function is typically non-differentiable with respect to them. As a result, gradient based optimization
brand slug:
wiki
category slug:
encyclopedia
description:
Parameter controlling the machine learning process
original url:
https://en.wikipedia.org/wiki/Hyperparameter_(machine_learning)
date created:
2011-07-13T19:12:07Z
date modified:
2024-08-27T15:34:54Z
main entity:
{"identifier":"Q28374376","url":"https://www.wikidata.org/entity/Q28374376"}
image:
fields total:
13
integrity:
15