I'm really appreciated about your good work :)
I left a question because I got confused while studying through your great code.
First, I wonder why you used "batch_size=batch_size*2" differently from train_loader in the test_loader part of the file "mini_batch_logistic_regression_valuator.ipynb". Is it related to creating 2 views when doing data augmentation?
Also, in the last cell of this file, I'm confused whether the second "for" (of the two "for") in the large epoch "for" statement corresponds to the test process or the validation process. I thought it was a test process, because loss update, backpropagation, optimization, etc. were done only in the first "for", and the second yield only accuracy, but is that right? Or I'm confused if the second "for" is a validating process because the first "for" and the second "for" are going together in the entire epoch processing.
I'm really appreciated about your good work :)
I left a question because I got confused while studying through your great code.
First, I wonder why you used "batch_size=batch_size*2" differently from train_loader in the test_loader part of the file "mini_batch_logistic_regression_valuator.ipynb". Is it related to creating 2 views when doing data augmentation?
Also, in the last cell of this file, I'm confused whether the second "for" (of the two "for") in the large epoch "for" statement corresponds to the test process or the validation process. I thought it was a test process, because loss update, backpropagation, optimization, etc. were done only in the first "for", and the second yield only accuracy, but is that right? Or I'm confused if the second "for" is a validating process because the first "for" and the second "for" are going together in the entire epoch processing.