darn.py 文件源码

def get_L2_weight_cost(self, gamma, layers=None):
        if layers is None:
            layers = range(self.n_layers)

        cost = T.constant(0.).astype(floatX)
        for l in layers:
            W = self.__dict__['W%d' % l]
            cost += gamma * (W ** 2).sum()

        return cost