# Why bias is not considering in Regularization?

Most of the Regularization (L1, L2 ) techniques focused mostly on the weight term only .But Regularization is not considering Bias.From my understanding large bias doesn’t make a neuron sensitive to its inputs in the same way as having large weights and vice versa .which means Bias is also important as weight .

Can any one help me why Bias is not considering?