convnet_3d.py 文件源码

def initialize_layer(self):
        rng = np.random.RandomState(None)
        W_values = np.asarray(
            rng.uniform(
                low=-np.sqrt(6. / (self.n_in + self.n_out)),
                high=np.sqrt(6. / (self.n_in + self.n_out)),
                size=(self.n_in, self.n_out)),
            dtype=theano.config.floatX)

        if self.activation == nnet.sigmoid:
            W_values *= 4

        b_values = np.zeros((self.n_out,), dtype=theano.config.floatX)
        self.W.set_value(W_values, borrow=True)
        self.b.set_value(b_values, borrow=True)