L1 vs L2 code difference, need details on code difference. How loss value impacts the weights and bi
Hi Team, can we get the difference between L1 and L2 code difference explained in detail?
I am not able to see the impact of Loss value making an impact to weights and biases.
1 answers ( 0 marked as helpful)
L2-norm calculates the sum of squared differences, it penalise more when there are some outlayers in the target
L1-norm: sum of ABS differences
so at sterile data like in the example, where we have a uniform distribution, i reckon you dont see much difference on the result
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