gaetandi / chexpert Goto Github PK

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Do you do anything to manage class imbalance? Weighted random sampler or similar?

From where to get train and validation CSV Datasets?
Provide link

Hi, thank you for posting this code. I am trying to do fine tuning on similar data using your model and weights but am running into some issues when I try to edit the final layer to fit 2 classes. If I try ```
model.classifier = nn.Sequential(
nn.Linear(1024, num_classes),
nn.Sigmoid()

I end up with just a 2nd classifier layer when I print(model). 

It seems like children removal doesn't work for densenets.. 
`model = nn.Sequential(*list(model.children())[:-1])`

How can I replace the final layer? Thank you

Hi, can you please tell me how to generate all the 14 labels' heatmap for the given image? Also, it would be great if I could get some explanation of how the heatmap is calculated.

Hello @gaetandi!
First of all, I want to thank you for uploading this awesome repo. I just started to learn more about ML and I think I can learn a lot from your repo.
Unfortunately, I get the error "This does not look like a tar archive" directly in my terminal when unpacking the file "model_ones_3epoch_densenet.tar".
It may well be that I make a simple beginner mistake, but unfortunately, I can not find a solution. I would be very happy about possible solutions.

OS: Ubuntu 18.04.2 LTS