Open zazada opened 6 years ago
@zazada Hi, you can't set a different learning rate for each layers without source code changing.
What do you mean about "add another convolutional layer between two nonadjacent layers such as layer5 and layer7"?
Thank you very much :)
@AlexeyAB
Do you have any idea why using a deeper network does not improve the detection accuracy that much?
@VanitarNordic No, I have no ideas. Because theoretically, at least one of the models densenet201_yolo2.cfg
or resnet50_yolo.cfg
should have better accuracy than yolo-voc.cfg
/yolo-voc.2.0.cfg
: https://github.com/AlexeyAB/darknet/issues/179#issuecomment-330047738
Maybe this is somehow related to that in Yolo for some outputs used soft-max() * logistic_activation()
, for some logistic_activation()
, for some exp() * const
- in contrast to one the same activation function for all outputs in classification networks.
Hi, could you please tell me how to set a different learning rate for each layers? And, how can i modify the cfg file to add another convolutional layer between two nonadjacent layers such as layer5 and layer7, and initialize with random parameters? Thank you!