A gentle introduction to Steerable Neural Networks (part 1)

What are Steerable Neural Networks and context

Introduction

Geometrical deep learning, as a branch of Deep Learning, aims to extend traditional AI frameworks such as Convolutional Neural Networks to process 3D or 2D geometric objects represented as graphs, manifolds, or point clouds. By incorporating geometric relationships and spatial dependencies directly into the learning framework, geometrical deep learning harnesses the inherent structural properties of data to eliminate the requirement for memory-intensive data augmentation techniques. For all these reasons, Geometrical Deep Learning …

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