Snapdeal Interview Question | Parameter Sparsity
Question
Why L1 regularizations cause parameter sparsity whereas L2 regularization does not?
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Interview Question
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Answer ( 1 )
L1 and L2 regularization are used to control over fitting. They deal with over fitting by shrinking some of the parameters. while L1 regularization shrink the parameters to zero the L2 regularization result in some parameters shrinking close to zero but not exactly zero. Hence making the parameters from L1 regularization more sparse