Fea

hello,I get the same problem,I haven't saw the "Test Epoch"ａｐｐｅａｒｅｄ worse ,it still training...now. I set learning-rate', default=0.001,How about you?Do you have any better ｐｒｏｐｏｓａｌｓ? DFL-CNN Train Epoch: [201][1159/1494] Loss...

@pengshiqi Oh,thank you very much! I find it .It seems to be improving.Bｕｔ the Loss2 ｖａｌｕｅ looks a little strange.In addition,Do you think the idea of 'filter bank' in this...

@pengshiqi Yes, you are right.It's not initialized .Do you know how to make it? I have some ideas to communicate with you.I suggest we add a qq.my qq numbers are...

@techzhou No，I didn't use a dropout layer.Maybe you can try to use regularization or Section 3.3 Layer Initialization to make it perform better,

@xiangzhang06 Hello，When I try to train this code .The following problems are appeared.Do you know how to solve it? Thanks /home/steven/Documents/test/DFL-CNN/main.py DFL-CNN Part1 : prepare for parameters Begin DFL-CNN Part1...

@Ien001 How do you try to nonrandomly initiallation?Can you share you idea? Thank you

@mengrang How accurate are you getting? In addition，Where to get these two files?'AgriculturalDisease_train_annotations.json'',"AgriculturalDisease_validation_annotations.json"