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SSIM in validation higher then SSIM in training for image denoising
I'm working to denoise microscopy images using a 2D U-Net. I'm training my network on images taken at different z-levels, and these images have ground truth, which is the mean of the images in z. ...
- 16
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How can I reduce the loss? Why do I have the high loss and why do I have the gradient?
I want to classify some images (there are about 200.000 images) with a CNN. But I get a very high loss, see figures: Loss over the hole training run Loss for each epoch It's confused me, that there ...
- 109
