Closed Guptajakala closed 4 years ago
We train with batch size 1 only because of memory limitation. The method ideally works with any batch size. But with different dataset, the hyperparameters or network architecture could be tuned for better performance.
You mentioned you are training with batch size 1 in this case. I need to run on a dataset where the images are much smaller and my GPU allows the batch size to be up to 200. Will the adversarial training work in this case?