I have a basic question. I want to know that when we are using torch.no_gard() during the validation process, why to do validation? How it will help our model training? Just we can do validation with testing.
Also,
I converted the code from keras to pytorch. For the first epoch it works like keras, but from the second one, my loss is not decreasing. It fluctuates very small around the mean value. I am doing regression with 3D convs. What can I do?
What maybe is the cause?
Thank you