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[D] how do you pick the right batch size for deep learning?

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

submitted by /u/tdls_to
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.