Issues: thomasjpfan/pytorch_refinenet
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I have two questions:1) I train on my dataset for implement 2 classes when last layer sigmoid activate for binary cross entropy ,but the loss didn't convergence, 2) and the output shape is (N, C, 32, 32) when input shape is (N,C,128,128), can I unsample output to mask size(128,128) ?
#6
opened Sep 2, 2018 by
liuchuanloong
ValueError: optimizing a parameter that doesn't require gradients
#3
opened May 14, 2018 by
cltdevelop
one of the variables needed for gradient computation has been modified by an inplace operation
#2
opened Jan 21, 2018 by
drdlfy
ProTip!
Exclude everything labeled
bug
with -label:bug.