Question toward get_L2norm_loss_self_driven

[daddyke]

Hi,

I have a quick question toward get_L2norm_loss_self_driven in the example of Office 31. As you mentioned in #4, the loss value will only relate to delta r and it would be a constant value during the whole training process.

If that is the case, then basically the total loss at the end would be (classification loss + entropy loss + constant generated by get_l2norm_loss_self_driven). Since that constant is only depended on delta R and has nothing to do with L2_norm, I am wondering what is the role of L2 norm in this case?

Looking forward to hearing from you soon!

Thank you,