def mean_square(y_pred, y_true):
 with tf.name_scope('MeanSquare'):
  return tf.reduce_mean(tf.square((y_pred - y_true)))

def mean_square ( y_pred , y_true ) : with tf . name_scope ( 'MeanSquare' ) : return tf . reduce_mean ( tf . square ( ( y_pred - y_true ) ) )
mean square loss .