uddeshya
uddeshya
@perone I see that all the scans consist of 3 SLICES (am I right?) and if that is the case then does `slice_axis=2` mean that it will only train and...
@perone Few questions about the example code.. 1) Original nifti scans and labels have the shape `512 X 512 X 12` you are using `mt_transforms.CenterCrop2D((200, 200))` this means the tensor...
@perone I wanted to customize this for my own problem (segmentation of medical RGB image dataset, it's not MRI/CT) I was able to change the dataloader and model appropriately and...
Hi, So I was trying out the loss function as given in the paper (as you mentioned `training/combined_training.py`) for one of my application. I have noticed that my log_sigma values...
@hutec In my application, I try to train the network with the above mentioned loss function, but my `log_sigma` values keep dropping to zero, any clues?
@hutec I think the loss function (where you use monte carlo integration) is for the classification task (and not regression). It's mentioned in the paper. Although the maths is still...
@hutec What are your thoughts on this? do you think the results can be improved, any suggestions? https://udion.github.io/post/uncertain_deepl/ Thanks
also did you tune the beta in swish activation function?
@Kostis-S-Z Can you give pointers for calculating PnL using values and actions?
I have tried dcgan as well, but it also doesn't when dataset has mixture of all the digits. any suggestions?