Closed ghost closed 5 years ago
see #13
see #13
thanks for your help
Hi,could you give me some suggestions on classes=2.
Hi,could you give me some suggestions on classes=2.
you can initial your network with classes = 20, and add a conv layer to transpose 20 to 2 at the end.
Hi, How about the effect? I did not get good results by changing the model.py in #13. The smallest train loss I got was 0.036. Could you give me some suggestions? Thank you very much.
When I run the code by classes=2, I initial the code " model = net.ESPNet(classes=2)"