You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I don't understand the clamp function here. I tried to train condensenet-86 on cifar10 . with and without clamp functions
with clamp: error rate = 95.06
without clamp: error rate = 94.96
Thanks in advance
The text was updated successfully, but these errors were encountered:
The clamp function here is to prevent numerical issues. Since the derivative of x^p is p*x^(p-1), when p < 1, it is essential to prevent x^(p-1) to be too big which introduces numerical unstable issues.
Hi, I have a question on clap weights
https://github.com/ShichenLiu/CondenseNet/blob/master/layers.py#L125
I don't understand the clamp function here. I tried to train condensenet-86 on cifar10 . with and without clamp functions
with clamp: error rate = 95.06
without clamp: error rate = 94.96
Thanks in advance
The text was updated successfully, but these errors were encountered: