Upside down, a cat’s still a cat: Evolving image recognition with Geometric Deep Learning
This article is originally published at https://blogs.rstudio.com/tensorflow/In this first in a series of posts on group-equivariant convolutional neural networks (GCNNs), meet the main actors — groups — and concepts (equivariance). With GCNNs, we finally revisit the topic of Geometric Deep Learning, a principled, math-driven approach to neural networks that has consistently been rising in scope and impact.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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