Hello all! I was trying to implement the fastai lessons on kaggle kernels by uploading the notebook and running it on the kernels. I would get various different errors like bus errors and other errors that seem to be memory-related. This was true even when I decreased the batch size. I found this kernel though which seems to be the same exact notebook like the one on GitHub. Yet it is so far running fine, as I write this post. What is the difference between these two kernels, and what will I have to do to avoid these errors in the future?
In addition, I have noticed that the training speed on Kaggle Kernels is quite slow compared to those demonstrated by Jeremy in the video. Why is that the case?