Construct · 1 fields · 1 citations

group equivariant convolutional network: a standalone construct

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Machine learning

a convolutional network whose layers are built to commute with a symmetry group such as rotations and reflections, so transformed inputs give correspondingly transformed outputs.

In machine learning, group equivariant convolutional network refers to a convolutional network whose layers are built to commute with a symmetry group such as rotations and reflections, so transformed inputs give correspondingly transformed outputs. This meaning comes from Cohen (2016) in arXiv.[1]

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Nearby constructs

group4 fields · 4 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs network4 fields · 6 citationsjingle · one word, four constructs

References

Cohen, T. S., & Welling, M. (2016). Group Equivariant Convolutional Networks. arXiv. https://doi.org/10.48550/arxiv.1602.07576

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