Origins of Geometric Deep Learning
Towards Geometric Deep Learning II: The Perceptron Affair
Geometric Deep Learning approaches a broad class of ML problems from the perspectives of symmetry and invariance, providing a common blueprint for neural network architectures as diverse as CNNs, GNNs, and Transformers. In a new series of posts, we study how geometric ideas dating back to…
Published in
13 min readJul 11, 2022
