3dgan_autoencoder.py 文件源码

def initialiseBiases():

    global biases
    zero_init = tf.zeros_initializer()

    biases['bg1'] = tf.get_variable("bg1", shape=[512], initializer=zero_init)
    biases['bg2'] = tf.get_variable("bg2", shape=[256], initializer=zero_init)
    biases['bg3'] = tf.get_variable("bg3", shape=[128], initializer=zero_init)
    biases['bg4'] = tf.get_variable("bg4", shape=[64], initializer=zero_init)
    biases['bg5'] = tf.get_variable("bg5", shape=[1], initializer=zero_init)

    biases['bd1'] = tf.get_variable("bd1", shape=[64], initializer=zero_init)
    biases['bd2'] = tf.get_variable("bd2", shape=[128], initializer=zero_init)
    biases['bd3'] = tf.get_variable("bd3", shape=[256], initializer=zero_init)
    biases['bd4'] = tf.get_variable("bd4", shape=[512], initializer=zero_init)    
    biases['bd5'] = tf.get_variable("bd5", shape=[1], initializer=zero_init) 

    return biases