def create_bias_initializer(bias_shape):
 stddev = (1 / math.sqrt(np.prod(bias_shape)))
 return tf.truncated_normal_initializer(stddev=stddev)

def create_bias_initializer ( bias_shape ) : stddev = ( 1 / math . sqrt ( np . prod ( bias_shape ) ) ) return tf . truncated_normal_initializer ( stddev = stddev )
returns a default initializer for the biases of a convolutional module .