Logistic Regression: Difference between revisions
Jump to navigation
Jump to search
(One intermediate revision by the same user not shown) | |||
Line 6: | Line 6: | ||
Logistic regression provides the functionality of an [[Neural_Networks#Individual_Unit|individual neural network unit]]. | Logistic regression provides the functionality of an [[Neural_Networks#Individual_Unit|individual neural network unit]]. | ||
=Regularized Cost Function= | |||
[[Image:LogisticRegressionRegularizedCostFunction.png]] | |||
The regularization term is a sum from j = 1, not from j = 0, because we do not regularize the bias term θ<sub>0</sub>. |
Latest revision as of 02:14, 6 January 2018
Internal
Overview
Logistic regression provides the functionality of an individual neural network unit.
Regularized Cost Function
The regularization term is a sum from j = 1, not from j = 0, because we do not regularize the bias term θ0.