I am using DIGITS 4 models trained with Googlenet with GRE and it seems to work great when I provide a model that was trained using 5 or more classifications. Although many classifications is very useful, right now I am trying to use two classifications and when I plug the two class network into GRE, I always seem to get a memory corruption issue.
I am using DIGITS 4 models trained with Googlenet with GRE and it seems to work great when I provide a model that was trained using 5 or more classifications. Although many classifications is very useful, right now I am trying to use two classifications and when I plug the two class network into GRE, I always seem to get a memory corruption issue.
Although this issue happens almost every time I plug in a network with two classifications, one time GRE was able to respond properly.
Help on this issue would be greatly appreciated. Thank you!