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please help! #16
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@wolfworld6 Same error, do u have solved? |
you need to change the classs to fit the bottom[0] |
@wolfworld6 thanks for your reply, does this repo only support binary classification? |
@wolfworld6 if i hava multi class(more than two class), how can i change the classs to fit the bottom[0]. |
the ith bottom[0] just has label 0 or 1,means multi-binary classification.you can just use the softmax |
@wolfworld6 ok, thanks! |
@wolfworld6 @A1exy i am doing two classification. and i also have the same error, how to solve it? i try to change the output num of inner product layer from 2 to 1. and it seems to work. but the acc is very low, just 60%... my loss layer is just the same as the author's: |
when i run this code,i got this error: Check failed: bottom[0]->count() == bottom[1]->count() (20 vs. 10) SIGMOID_CROSS_ENTROPY_LOSS layer inputs must have the same count.
how do i solve it?
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