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Ninja At Work
Nov 13, 2015, 12:58:25 PM11/13/15
to Caffe Users
Hi
we have a simple trained imagenet model on a handy dataset made of image's with 3 major r,g,b color category
for instance a red apple in a white background is a in red set.a red tomato in a black background must predict as a red too.
which type is this network and how i can find out about best loss layer type or define it since this task can done by regular programing approach in a for(for()) algorithm.
any help appreciated.
Thanks.
we have a simple trained imagenet model on a handy dataset made of image's with 3 major r,g,b color category
for instance a red apple in a white background is a in red set.a red tomato in a black background must predict as a red too.
which type is this network and how i can find out about best loss layer type or define it since this task can done by regular programing approach in a for(for()) algorithm.
any help appreciated.
Thanks.
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