I’ve been trying to figure out the right way to pick the batch size for deep learning problems. not sure if there are generic guidelines for that or if it’s pretty much experimental? any thoughts?

​

I also came across this paper, and made this video to summarize it for a challenge; any feedback would be appreciated: https://youtu.be/crag6bMM-0k