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
Hi, thx for share ur code. I am trying to implement PFNN with pytorch.
I encountered a strange problem that the gradient of the PFNN will not decrease at all.
I changed the network model to a 3-layer MLP, the gradient will drop normally.
Does it have something to do with the way I implemented the phase function, which caused the gradient can not back-propagation?
The text was updated successfully, but these errors were encountered:
Hi, thx for share ur code. I am trying to implement PFNN with pytorch.
I encountered a strange problem that the gradient of the PFNN will not decrease at all.
I changed the network model to a 3-layer MLP, the gradient will drop normally.
Does it have something to do with the way I implemented the phase function, which caused the gradient can not back-propagation?
The text was updated successfully, but these errors were encountered: