So I am having an issue with my kernel not responding while training a CNN.
At first I thought the issue was with having a batch size that was too large, so I reduced it from 64, to 48, to 32, to 16. But it still does not work as the kernel still becomes not responsive.
All these training was done with image sizes of 256. I have trained the CNN on 128 with batch size 64 will no issue. Also, when training image size 256 with any of the batch sizes above, the kernel always becomes non responsive at 10% during the training.
I am using the planet-understanding-the-amazon-from-space training dataset.
Hoping anyone can provide me some insight on this issue!