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DeConv training? #3
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My pre-trained model is similar to Alexnet in Caffe. |
You don't need to train with the DeConv layer, you only need to make the deploy file the similar way as my example. |
@deepalianeja Please refer to examples/deconv_deploy.prototxt and examples/unpooling.ipynb for detail |
Okay. Thanks. It was looking for conv1t layers and other DeConv laters from the model so I got confused. Do you also have an example of guided back propagation? I see something but is that complete? |
@deepalianeja Well, as for the guided back propagation, I think the example just did the right thing but in an ugly way. Do you also think so? |
I have a trained model and I'm trying your pipeline for unspooling and visualizing the layers. Do I need a new train_val.protxt? Do I need to train again with the DeConv layers? I have updated my deploy.prototxt. Can you please help?
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