我不仅可以使用权重矩阵作为参数，还可以创建自定义正则化项(Keras)吗？

from keras import backend as K
from keras.regularizers import Regularizer

class CustomRegularizer(Regularizer):
    def __init__(self, param1=0.01, param2=0.01):
        self.param1 = param1
        self.param2 = param2

    def __call__(self, x):
        regularization = K.sum(self.param1 * K.square(x)) + self.param2 * K.sum(K.abs(x))
        return regularization

    def get_config(self):
        return {'param1': self.param1, 'param2': self.param2}

from keras.layers import Dense
from keras.models import Sequential

model = Sequential()
model.add(Dense(64, input_dim=100, kernel_regularizer=CustomRegularizer()))