Posit AI Weblog: Implementing rotation equivariance: Group-equivariant CNN from scratch

Posit AI Weblog: Implementing rotation equivariance: Group-equivariant CNN from scratch

Convolutional neural networks (CNNs) are nice – they’re in a position to detect options in a picture irrespective of the place. Properly, not precisely. They’re not detached to only any sort of motion. Shifting up or down, or left or proper, is okay; rotating round an axis will not be. That’s due to how convolution…

Group-equivariant neural networks with escnn

Group-equivariant neural networks with escnn

At present, we resume our exploration of group equivariance. That is the third put up within the collection. The first was a high-level introduction: what that is all about; how equivariance is operationalized; and why it’s of relevance to many deep-learning functions. The second sought to concretize the important thing concepts by creating a group-equivariant…