Hi All,
I want to modify loss function to tackle class imbalance problem. For this
I am trying to penalize the loss function in following way;
def binary_ce(output,target):
penalty = 50
return -(target * tensor.log(output) *penalty + (1.0 - target) *
tensor.log(1 - output))
But, I am getting loss value as nan....
Can anyone please explain what am I missing ?
Thanks for your patience.
Thanks and Regards,
Onkar
--
---
You received this message because you are subscribed to the Google Groups
"theano-users" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
For more options, visit https://groups.google.com/d/optout.
