ff62eb251b04b8301e71aee970bdb157f2649fa9,keras/regularizers.py,EigenvalueRegularizer,__call__,#EigenvalueRegularizer#Any#,39

Before Change

        // multiplied by the given regularization gain
        regularized_loss = loss + (main_eigenval ** 0.5) * self.k

        return K.in_train_phase(regularized_loss[0, 0], loss)


class WeightRegularizer(Regularizer):

After Change

                         K.dot(K.transpose(main_eigenvect), main_eigenvect))
        // Multiply by the given regularization gain.
        regularization = (main_eigenval ** 0.5) * self.k
        return K.sum(regularization)


class L1L2Regularizer(Regularizer):

Instances