SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold
Complex-valued data are ubiquitous in signal and image processing applications, and complex-valued representations in deep learning have appealing theoretical properties. While these aspects have long been recognized, complex-valued deep learning continues to lag far behind its real-valued counterpa...
Gespeichert in:
Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2022-03, Vol.33 (3), p.940-951 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Schreiben Sie den ersten Kommentar!