Machine Learning, Deep Learning, Artificial Intelligence, AI, Neural Networks.
the regularized hyperparameter. As λ increases, the bias increases (and the model becomes less flexible) with the following extreme cases (see figure 2): λ = 0, no regularization. λ → ∞, model becomes very simple where all weights are essentially zero. In the case of regression, we would end-up