Depth matters: expressivity in DNNs goes thru a phase transition with depth. https://arxiv.org/pdf/1606.05340v2.pdf … (warning: contains Riemannian geometry)
Pretty dense paper. Always happy to see new theoretical work on deep learning. We need more of it.
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Surya'a lab is doing great work in this area. Both topically and geographically.
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Totally agreed on needing more theoretical work for DL. Any suggestions for pre-reading if I'm not well studied on Riemannian geo?
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I found this enlightening and highly relevant to DL: https://www.amazon.com/Information-Translations-Mathematical-Monographs-Tanslations/dp/0821843028 …
End of conversation
New conversation -
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What's the best theory reference for convnets today?
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