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[D] An easy guide to gauge equivariant convolutional networks

After reading “Gauge Equivariant Convolutional Networks and the Icosahedral CNN” by Cohen et. al. posted here yesterday, I thought I’d share a non-math summary for everyone who doesn’t have the time to read up on an entire field of physics. I really think the fundamental idea of the paper is really cool for everyone doing deep learning.

https://medium.com/@kayzaks/an-easy-guide-to-gauge-equivariant-convolutional-networks-9366fb600b70

submitted by /u/kayzaks
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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.