我在git找的代码是这样定义的：
# 3. Total loss
# The paper uses sum of squared error as reconstruction error, but we
# have used reduce_mean in # 2 The reconstruction loss to calculate
# mean squared error. In order to keep in line with the paper,the
# regularization scale should be 0.0005*784=0.392
self.total_loss = self.margin_loss + cfg.regularization_scale * self.reconstruction_err
各位有没有详细一点的解释，它这里好像还把重构（reconstruction）的loss加进去了？但是好像看网上资料里面loss只有margin loss？
