Closed mli closed 8 years ago
cool! i think we should train 260 layers, and need to design the units = [,,,], @winsty say he's also consider this~
sounds crazy... how about 350 layers, or even 500 layers?
@tornadomeet Could you please tell me what kind of machine (hardware) you are using for training these resnets? Thanks.
@singlepetrol There are descriptions in the log directory, including GPU types, lr descreasing point. beside, the provided log file is also helpful.
any progress?
@austingg Thank a lot!
trained several models with 200 layers using 10 machines. the final accuracy is 1% worse comparing to the one trained with single machine, maybe due to the 10x larger batch size.
i'm going to close this thread since i'm training models on the full imagenet dataset, which should be more useful for fine tune other datasets.
resnet 200 is on training. any idea about 260 layers?