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Results tagged with regularization
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user 153701
Inclusion of additional constraints (typically a penalty for complexity) in the model fitting process. Used to prevent overfitting / enhance predictive accuracy.
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What is the difference between kernel, bias, and activity regulizers, and when to use which?
Usually, if you have no prior on the distribution that you wish to model, you would only use the kernel regularizer, since a large enough network can still model your function even if the regularization … $L_1$ versus $L_2$ regularization
Now, for the $L_1$ versus $L_2$ loss for weight decay (not to be confused with the outputs loss function). …
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