As the title goes.
My network classify all samples as the last class it was trained on. It doesnt matter if it trained for 12 hours, 12 minutes, using 100000 samples or 10 samples etc.
It always only classify the last class it was trained on. So if last training loop was a class 0 all classifications are vecome 0.
Is there a known fix to this issue? How to i find what causes this?