I am using the GoogleNet model for binary image classification. I used to use a virtual machine, and now I use Ubuntu 14.04. Both give me different results. I tried to find out where the problem was, but I could not pinpoint it.
I trained two models separately in Ubuntu 14.04 and the other in a virtual machine. Both models use a processor. cuDNN is not used in both cases. As for the BLAS library, I use ATLAS by default.
Any suggestions would be of great help.
source
share