Keras深度学习添加自定义正则项

from keras.models import  Model

from keras  import backend   as K
from  keras.layers  import Dense

def  l1_reg(weights):  #自定义正则项
    return  0.01 * K.sum(K.abs(weights))


model =  Model()

model.add(Dense(64,input_dim = 64,kernel_regularizer = l1_reg)) #在模型里添加该正则项