You do not have permission to delete messages in this group
Copy link
Report message
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to Caffe Users
Hi, everyone!
I'm trying to add a binary mask on the weights in the fully-connected layer. The value of the mask is fixed and has nothing to do with training. Basically, the weight matrix will multiply the the mask elementally-wise before it multiply each neuron. Can anyone tell me how to write this in the caffe prototxt ? Or is there a way to solve this?
Thanks,
Shawn
Przemek D
unread,
Jan 31, 2017, 2:30:26 AM1/31/17
Reply to author
Sign in to reply to author
Forward
Sign in to forward
Delete
You do not have permission to delete messages in this group
Copy link
Report message
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to Caffe Users
There is an Eltwise layer that performs an element-wise operation of your choice (PROD (product), SUM or MAX) between its bottoms. You still need to load your mask somehow, perhaps as a data layer? Or a python layer?
Shawn Fang
unread,
Feb 3, 2017, 8:29:01 PM2/3/17
Reply to author
Sign in to reply to author
Forward
Sign in to forward
Delete
You do not have permission to delete messages in this group
Copy link
Report message
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to Caffe Users
Hello, thanks for answering. Is there any tutorial on how to build a data/python layer ?