Algebraic Expressions for Complex Deep Learning Systems Modeling and Analysis
Many modern Deep Learning (DL) systems have achieved impressive state-of-the-art results by combining individual sub-systems, including foundation models, to form increasingly more complex DL systems. However, this growing complexity also introduces new challenges in effectively modeling and analyzi...
Saved in:
| Main Authors: | Rhandall Valdez-Yepez, Bryan V. Piguave, Jennifer C. Pita, Andres G. Abad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11108168/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Basket2vec: Learning Retail Basket Representations From Transactional Data
by: Bryan V. Piguave, et al.
Published: (2024-01-01) -
The properties on F-manifold color algebras and pre-F-manifold color algebras
by: Ming Ding, et al.
Published: (2025-01-01) -
Structure theory of Clifford-Weyl algebras and representations of ortho-symplectic Lie superalgebras
by: Nasser Boroojerdian
Published: (2025-01-01) -
An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition
by: Shixin Huo, et al.
Published: (2024-12-01) -
Reflexive algebras and sigma algebras
by: T. C. Przymusinski, et al.
Published: (1986-01-01)