Cargando…
Designing rotationally invariant neural networks from PDEs and variational methods
Partial differential equation models and their associated variational energy formulations are often rotationally invariant by design. This ensures that a rotation of the input results in a corresponding rotation of the output, which is desirable in applications such as image analysis. Convolutional...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352643/ https://www.ncbi.nlm.nih.gov/pubmed/35941960 http://dx.doi.org/10.1007/s40687-022-00339-x |