#regularization
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Well, still similar to the Regularization applied to linear, the regularized cost function for logistic regression is defined by: $$J(\mathbf{w}, b) =...
Since we can't be sure which of the parameter to penalize, we penalize all by adding the Regularization term to the cost function. A regularized cost...
So, to simply put, Regularization is just simply making your parameters smaller and relatively less effective to avoid overfitting. oh, and the...