regularizer

the regularizer helped prevent overfitting in the model.

we used an l1 regularizer to encourage sparsity.

adding a regularizer can improve generalization performance.

the weight decay regularizer penalized large weights.

we compared models with and without a regularizer.

the regularizer minimized the complexity of the neural network.

ridge regression employs an l2 regularizer.

elastic net combines l1 and l2 regularizers.

the optimal regularizer parameter was determined empirically.

a strong regularizer can lead to underfitting.