I understand regularization normally adds k*w^2 to the loss to penalize large weights. But in Keras there are two regularizer parameters - weight_regularizer and activity_ regularizer. What is the difference?
In Keras what is the difference between weight_regularizer and activity_ regularizer
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The difference is that
activity_regularizeris applied to the output from an intermediate layer, it penalizes large layer output.