Gan.py 文件源码

def get_en_y_variables(self):

        weights = {

            'e1': tf.Variable(tf.random_normal([4, 4, 1, 64], stddev=0.02), name='eny_w1'),
            'e2': tf.Variable(tf.random_normal([4, 4, 64, 128], stddev=0.02), name='eny_w2'),
            'e3': tf.Variable(tf.random_normal([128 * 7 * 7, 10], stddev=0.02), name='eny_w4')
        }

        biases = {

            'eb1': tf.Variable(tf.zeros([64]), name='eny_b1'),
            'eb2': tf.Variable(tf.zeros([128]), name='eny_b2'),
            'eb3': tf.Variable(tf.zeros([10]), name='eny_b4')
        }

        return weights, biases