Logistic Regression: Difference between revisions

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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

LogisticRegressionRegularizedCostFunction.png

The regularization term is a sum from j = 1, not from j = 0, because we do not regularize the bias term θ0.