Question - What do you understand by L1 and L2 regularization?
Answer -
L2 regularization: It tries to spread error among all the terms. L2 corresponds to a Gaussian prior.
L1 regularization: It is more binary/sparse, with many variables either being assigned a 1 or 0 in weighting. L1 corresponds to setting a Laplacean prior on the terms.