Equivariant Neural Networks | Part 2/3 - Generalized CNNs

▬▬ Papers / Resources ▬▬▬
Group Equivariant CNNs: https://arxiv.org/abs/1602.07576
Convolution 3B1B video: https://www.youtube.com/watch?v=KuXjwB4LzSA&ab_channel=3Blue1Brown
Fabian Fuchs Equivariance: https://fabianfuchsml.github.io/equivariance1of2/
Steerable CNNs: https://arxiv.org/abs/1612.08498
Blogpost GCNN: https://medium.com/swlh/geometric-deep-learning-group-equivariant-convolutional-networks-ec687c7a7b41
Roto-Translation Image Analysis: https://arxiv.org/abs/1804.03393
Harmonic Networks: https://arxiv.org/abs/1612.04642
Capsule Networks: https://arxiv.org/abs/1710.09829

▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Music from #Uppbeat (free for Creators!):
https://uppbeat.io/t/yokonap/birds
License code: WXVHOOZRRWDUCKIU

▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬
All Icons are from flaticon: https://www.flaticon.com/authors/freepik

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:55 Group CNNs
07:59 Steerable CNNs
11:20 Harmonic Networks
12:10 Capsule Networks
14:30 3D models
14:53 Recommended resources

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